Abstract: A method includes gathering data about the well and the deep and tight sandstone reservoir, evaluating a diagenetic rock typing and a flow index of the reservoir using the data, and determining a first set of perforation locations based on the diagenetic rock typing and the flow index. The method also includes calibrating in-situ stresses based on the data and determining a breakdown pressure envelope and optimal perforation directions using the in-situ stresses, maximum horizontal stress direction, formation mechanical properties, and well trajectory.

Abstract: Techniques and methods associated with performing monitoring associated with operations of autonomous vehicles. For instance, the vehicle may capture sensor data using one or more sensors. The vehicle may then analyze the sensor data using systems in order to determine estimated locations associated with the vehicle and estimated locations associated with situations that may result in a potential unsafe scenario represented by the sensor data. Additionally, the vehicle may determine a distribution of estimated locations associated with the vehicle and using the distributions of estimated locations, the vehicle may determine risk probabilities associated with operations of the vehicle. The vehicle may then redefine or update a route or maneuver to perform when the risk probability exceeds a threshold.

Abstract: A method of customized installation of access control hardware according to one embodiment includes capturing, by a camera of a mobile device, at least one image of an installation location for the access control hardware, generating a set of customized installation instructions for the access control hardware at the installation location based on the at least one image, and displaying the customized installation instructions on a graphical user interface of the mobile device.

Abstract: Systems, methods and apparatus are included that are configured to model microvascular obstruction (MVO) in patients. According to one aspect of the present disclosure, a multi-scale model is configured to mimic myocardial microcirculation of coronary vessels. The model includes collaterals configured to provide alternative pathways possibly bypassing the MVO, and configured to model coronary artery compliance for spatially resolved fluid transport through the coronary vessels. The model is configured to simulate the MVO by increasing flow resistance in at least one of the modelled coronary vessels, or by blocking the at least one of the modelled coronary vessels completely. The model is also configured to mimic behavior of fluid transport in the coronary vessels during diagnostics or treatment, to design and optimize therapy protocols for the MVO.

Abstract: A computer-implemented method of automatically determining photon-count to penetrated depth function for a CT reconstruction includes performing one or more test CT reconstructions on one or more radiographs, each test CT reconstruction using a test transfer function, to provide one more test reconstructions and determining a final transfer function from the one or more test reconstructions.

Abstract: Systems and methods for collecting, analyzing, billing and reporting data from intelligent electronic devices are provided. Also, systems and methods for managing sensor data are provided. In some embodiments, a system for managing sensor data may include intelligent electronic devices, a server, a plurality of client devices, and a network. Each of the intelligent electronic devices is configured to obtain sensor data related to power parameters distributed to a load. The server is configured to receive the sensor data from the plurality of intelligent electronic devices and store the sensor data in a database. Each client device is configured to retrieve the sensor data from the database. The network enables communication among the server, the plurality of intelligent electronic devices, and the plurality of client devices.

Abstract: A learning unit of a learning system generates the following learning model. That is, this learning model is a model that inputs rehabilitation data for each predetermined period and predicts a change in index data, the rehabilitation data being data about rehabilitation performed by a trainee using a rehabilitation support system, the index data indicating at least one of a symptom, a physical ability, and a degree of recovery of the trainee. This rehabilitation data includes at least the index data and training data of the trainee, the training data being acquired during the rehabilitation in the rehabilitation support system. Further, the learning unit generates the learning model by using, as teacher data, data obtained in a period until the index data reaches a predetermined target level.

Abstract: The present invention provides materials and methods for determining optimal dosage regimens for therapeutic agents. In particular, the invention relates to dosage regimens for therapeutic agents capable of targeting IL-2 receptor, preferably interleukin 2 (IL2)-based therapeutic agents. The methods of the invention allow general dosage regimens to be determined for new IL-2R targeted therapeutic agents but also specifically tailored dosage regimens to be achieved for individuals being treated with IL-2R targeted therapeutic agents.

Abstract: An analyte sensor for use in detecting an analyte in an in vitro sample via spectroscopic techniques using non-optical frequencies that are in the radio or microwave frequency bands of the electromagnetic spectrum. The analyte sensor uses at least one transmit antenna (which may also be referred to as a transmit element) that functions to transmit a signal in the radio or microwave frequency range of the electromagnetic spectrum into the in vitro sample containing an analyte of interest, and at least one receive antenna (which may also be referred to as a receive element) that functions to detect a response resulting from transmission of the transmit signal by the transmit antenna into the sample. The data can then be analyzed to detect the presence of the analyte and/or determine a concentration of the analyte.

Abstract: This specification relates to systems, methods and apparatus for recognising patterns in blood glucose measurements.

Abstract: A method (12) of estimating one or more physiological parameters, in particular of a cardiac region, based on medical imaging data. An input time series of three-dimensional medical images is received (14), representative of a cardiac region of a patient. A meshless simulation frame-work is applied (16) for simulating blood flow through at least a portion of the anatomical area captured by the images. The simulation framework comprises in particular simulating force interactions between individual elements of a simulated fluid (representing blood) and individual patches of a tissue structure of the imaged cardiac region. One or more physiological parameters (18) are derived based on the simulated blood flow.

Abstract: An automotive body adhesive bonding position optimization analysis method of obtaining an optimum position at which a parts set is adhesive-bonded with a structural adhesive in combination with welding, the method including: disposing an adhesive element as the structural adhesive at a position on a body structure model as a candidate at which adhesive bonding is performed with the structural adhesive; setting an optimization analysis condition including a loading condition applied to the body structure model in optimization analysis, to the body structure model on which the adhesive element is disposed; and performing optimization analysis on the adhesive element as an optimization analysis object in the body structure model to which the optimization analysis condition is set so as to obtain a position of the adhesive element satisfying the optimization analysis condition as the position at which adhesive bonding is performed with the structural adhesive.

Abstract: An analysis method of optimizing vibration performance of a part of an automotive body, including: acquiring a maximum displacement of vibration of the part of the automotive body; acquiring a load required for applying a same displacement as the acquired maximum displacement, to the part of the automotive body; setting a design space by setting a part or member that supports the part of the automotive body as an optimization target; generating an optimization block model formed of three-dimensional elements in the set design space; generating an optimization analysis model by combining the generated optimization block model to the automotive body; and acquiring an optimal shape of the optimization block model by: applying the acquired load as a load condition; and performing optimization analysis for the optimization block model taking an inertial force that occurs in the part of the automotive body due to vibration into consideration.

Abstract: Methods, systems, and computing devices of a solver for detecting discontinuities or irregularities in a simulation in scientific computing is disclosed. The solver detects a discontinuity or irregularity using two phases: a crude phase, and a fine phase. The crude phase determines an estimate of where the discontinuity is located by extrapolating the interpolant. The fine phase iteratively refines the location of the discontinuity using root-finding and simplified Newton iterations. The solver disclosed herein takes fewer steps when running a simulation because it accurately steps over the discontinuities.

Abstract: Data is received that includes a triangular mesh. Thereafter, a curvature aligned cross field is generated on the triangular mesh. The cross field is used to calculate a quad layout. A subdivision surface can be created using the quad layout as a control cage. Later, vertex locations in the control cage are determined to result in the subdivision surface being an approximation of the triangular mesh. The subdivision subsurface (or a portion thereof) can be visualized in a graphical user interface (e.g., as part of a CAD software application, etc.). Related apparatus, systems, techniques and articles are also described.

Abstract: The invention relates to a brake system comprising at least one brake with a frictional surface, a pad carrier with a brake pad, and a control and monitoring unit. According to the invention, the brake system additionally comprises a brake temperature sensor which is connected to the control and monitoring unit that is designed to ascertain brake temperature maintenance values on the basis of the brake effectiveness request, to compare a temperature ascertained by the brake temperature sensor with corresponding brake temperature maintenance values, and to ascertain at least one correction factor on the basis of a deviation. The control and monitoring unit is additionally designed to correct the brake control signal by the at least one correction factor and to actuate the controller using the corrected brake control signal.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry and an input interface. The processing circuitry obtains the spatial distribution of the wall shear stress values at each position of blood vessels. Moreover, the processing circuitry displays, from an arbitrary angle, a display image formed by assigning the wall shear stress values to a three-dimensional image. The input interface receives an input operation for changing the angle. During the display of the display image formed by assigning the wall shear stress values to the three-dimensional image, the processing circuitry changes the display form of the display image between a rotational display in which the display image is displayed while changing the angle with time, and a nonrotational display in which the angle is not changed.

Abstract: A controller for a system of equipment that operate to produce or consume one or more resources includes one or more processing circuits configured to generate a resource balance constraint using a balance between a first amount of each resource and a second amount of each resource. The first amount of each resource includes at least an amount of the resource produced by the equipment. The second amount of each resource includes at least an amount of the resource consumed by the equipment. The one or more processing circuits are configured to perform a control process using the resource balance constraint to determine amounts of each resource to be produced or consumed by the equipment and operate the equipment to produce or consume the amounts of each resource determined by the control process.

Abstract: Techniques for determining a hydraulic fracture dimension include identifying pressure signal values of a first fracturing fluid in a monitor wellbore that represent a pressure change in the first fracturing fluid that is induced by formation of a second hydraulic fracture from a treatment wellbore; determining a particular pressure signal value of the plurality of pressure signal values; based on the determined particular pressure signal value, determining a particular dimension of the second hydraulic fracture formed from the treatment wellbore; and determining, based at least in part on (i) the determined particular dimension, and (ii) a first pressure signal value of the plurality of pressure signal values that is less than the determined particular pressure signal value, a first intermediate dimension of the second hydraulic fracture that is less than the determined particular dimension of the second hydraulic fracture.

Abstract: Systems and methods for password discovery are provided. A system receives a first password data set comprising known passwords and applies a rule-set to the first data set to generate a second password data set comprising passwords that are believed to be likely to be human-generated. The system trains a generative adversarial network, for generating predicted passwords, using the second data set, for example by incentivizing the GAN to favor passwords in the second data set. The system applies the generative adversarial network to generate a third password data set comprising predicted passwords. The system compares the third password data set to a data corpus to identify a string in the data corpus determined to match one of the predicted passwords in the first plurality of predicted passwords. The identified string may thus be identified as a previously undiscovered password, which may be applied to unlock password-protected systems and/or to further improve password discovery systems.

Abstract: Techniques for simulating fluid flow using a lattice Boltzmann (LB) approach for solving scalar transport equations and solving for total energy are described. In addition to the lattice Boltzmann functions for fluid flow the techniques include modifying a set of state vectors of the particles by adding specific total energy to states of particles that will be advected and subtracting the specific total energy from states of particles that will not be advected over a time interval and performing advection of the particles according to the modified set of states.

Abstract: Disclosed are a method of PCB sectional preshrinking, a device, an equipment and a computer-readable storage medium. The method includes: obtaining a PCB raw data and a preset accuracy requirement; determining a preshrinking compensation value according to the PCB raw data and the preset accuracy requirement; determining a first sectional length according to the PCB raw data and the preshrinking compensation value; determining a preshrinking compensation ratio according to the preshrinking compensation value and the first sectional length; determining a second sectional length according to the PCB raw data, the first sectional length and the preshrinking compensation ratio; and determining an optimization preshrinking design length according to the first sectional length and the second sectional length.

Abstract: There are provided a lithography method capable of selecting best resist and a semiconductor device manufacturing method and exposure equipment based on the lithography method. The lithography method includes estimating a shape of a virtual resist pattern based on a multi-scale simulation for resist, forming a test resist pattern by performing exposure on selected resist based on the simulation result, comparing the test resist pattern with the virtual resist pattern, and forming a resist pattern on an object to be patterned by using the resist when an error between the test resist pattern and the virtual resist pattern is in an allowable range.

Abstract: This application provides a quantum noise process analysis method, system, storage medium, and electronic device, which are applied in the field of quantum information processing technology.

Abstract: A computer-implemented method for generating a building design for a building site having a complex shape comprises: generating a first group of processing areas from a plurality of processing areas associated with the building design and a second group of processing areas from the plurality of processing areas; generating a first building footprint leg that is sized to include the first group of processing areas and a second building footprint leg that is sized to include the second group of processing areas; at a pivot location, joining the first building footprint leg and the second building footprint leg at an aperture angle; performing a numerical simulation to position the first group of processing areas in the first building footprint leg and the second group of processing areas in the second building footprint leg to generate a candidate building design for the building site; and rendering the candidate building design.

Abstract: A system includes one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: selecting, by a greedy tote reduction algorithm within an infeasible totes loop, items that have a highest volume restriction and a highest weight restriction for each of a plurality of respective totes; iteratively executing a swap of the items; iteratively searching for candidate solutions until a solution of picklists for the plurality of respective totes containing the items, as swapped, is found; executing a minimum trolley loop algorithm on the solution of picklists to create combined picklists; and displaying to a picker on an interface of a computing device, turn-by-turn directions within a pick walk for the combined picklists. Other embodiments are disclosed herein.

Abstract: A method for reducing a threat footprint for an area-of-interest by, determining a base risk score for an area-of-interest, deriving a graphical representation of the area-of-interest and one or more defense strategies for the area-of-interest, training an adversarial reinforcement learning agent to identify one or more successful attack paths on the graphical representation of the area-of-interest that are effective in bypassing the one or more defense strategies for the area-of-interest, determining an active risk score based upon the one or more successful attack paths identified by the adversarial reinforcement learning agent and determining one or more mitigation actions that will reduce the active risk score for the area-of-interest based upon the base risk score and one or more predetermined resource constraint.

Abstract: Techniques are disclosed for updating a trusted software and another software, which may include receiving a software update package that comprises a trusted updated software component, a trusted updated software booting metadata, another updated software component, and another updated software booting metadata. The trusted updated software component may belong to an updated version of the trusted software, and the trusted software may have a certain trust level. The other updated software component may belong to an updated version of the other software, and the other software may have a trust level that is lower than the certain trust level. At least a part of the trusted updated software booting metadata may comprise retrieval information for retrieving, during a booting process, at least a portion of the other software booting metadata.

Abstract: A method for simulating a flow in which a structure is submerged, the method being implemented by computer, and the behavior of the structure in the flow being modeled by radial and rotational sources generating a velocity field representing the flow around the structure.

Abstract: A heating ventilation and air conditioning (HVAC) control system. The HVAC control system includes a sensor that detects a refrigerant released from an HVAC system and emits a signal indicative of the detection. The HVAC control system also includes a switch that blocks a flow of electricity to an enclosed space and a controller that receives the signal from the sensor and activates the switch to block the flow of electricity in response to detection of the refrigerant.

Abstract: A method and system for prediction of wave properties include collecting time series data streams from one or more wave measurement devices and processing the data using a wave-prediction algorithm to identify the frequency components of the data and compute wave parameters. The wave-field is propagated in space and time to predict wave height, speed, and velocity at a target location. A sliding window approach is used to continuously update the prediction in real-time.

Abstract: Provided are systems and methods for providing insights to users of a mobile application based on triggers that may be detected from within the data or externally. In one example, a method may include receiving, via a message transmitted to a uniform resource locator (URL) of a host platform, information about a user of a software application, reading a plurality of records associated with the user from the received information, the plurality of records comprising data and a plurality of timestamps, respectively, generating derived data based on the data included in the plurality of records, converting the plurality of timestamps into a single timing identifier that represents all of the plurality of timestamps, and transmitting, to a computing system, a notification comprising the derived data and the new timing identifier.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things system for platform work order linkage processing based on a smart gas operation. The method includes: extracting work order features of work orders to be assigned, and the work order features including at least one of a gas failure type, a gas failure repairing difficulty, a gas failure location, a gas failure repairing material requirement, a work order urgency level, or a required work order completion time; determining at least one linked work order set based on the work order features, wherein the linked work order set includes at least one work order to be assigned; extracting a set feature of each linked work order set in the at least one linked work order set; and determining an assignment scheme of the linked work order set and planning a linkage processing scheme.

Abstract: A numerical experimental method for urban waterlogging includes the following steps: acquiring raw data of an urban underlying surface; batch-processing urban waterlogging modeling data; batch-running urban waterlogging numerical experimental models; batch-processing urban waterlogging numerical experimental results; and displaying and analyzing the batch-processed urban waterlogging numerical experimental results. The numerical experimental method constructs a numerical experimental process, which can perform an unlimited number of repeated experiments in the numerical simulation process of urban waterlogging and achieve batch-running of data preprocessing, model operation, and data post-processing processes. Therefore, the numerical experimental method has the advantages of high efficiency, high convenience, high reliability, and low cost.

Abstract: Provided is a method for selecting one of a plurality of convergence paths that may be drilled by a bottom hole assembly (BHA) comprising identifying, by a computer system, a plurality of geometric convergence paths, wherein each of the geometric convergence paths provides a convergence solution from a defined bottom hole assembly (BHA) location to a target drilling path of a well plan. An offset distance is calculated for drilling by the BHA each of the geometric convergence paths connecting the BHA location to the target drilling path. A drill path curvature associated with drilling each of the geometric convergence paths by the BHA is determined by the computer system. A time required for drilling each of the geometric convergence paths by the BHA is determined by the computer system.

Abstract: Systems and methods for simulating containerized clusters. An example method may include determining a first value of an entity property that characterizes a simulated cluster entity in a containerized cluster entity, where the first value of the entity property is determined in view of an entity simulation specification associated with the simulated cluster entity, identifying one or more simulation policies that correspond to the simulated cluster entity, the simulation policies comprising a value generation policy that specifies a modification factor, the entity property, and one or more entity modification criteria. The example method may further include responsive to determining that the one or more entity modification criteria are satisfied, determining a second value of the entity property in view of the first value of the entity property and the modification factor, and generating simulation output comprising the second value of the entity property.

Abstract: A robotic system for manipulating an object with a robotic manipulator is provided. The robotic system is configured to collect a digital representation of a task for manipulating the object; solve a robust control problem to optimize a sequence of control forces to be applied by the robotic manipulator to change a state of the object, where an evolution of the state of the object is governed by a stochastic complementarity system modeling the task with a predefined probability. The robust control problem optimizes a cost function to generate the sequence of control forces performing the task subject to joint chance constraints including a first chance constraint on the state of the object being manipulated and a second chance constraint on stochastic complementarily constraints modeling manipulation of the object. The robotic system is further configured to control the manipulation of the object based on the sequence of control forces.

Abstract: Herein is machine learning for anomalous graph detection based on graph embedding, shuffling, comparison, and unsupervised training techniques that can characterize an unfamiliar graph. In an embodiment, a computer obtains many known vectors that respectively represent known graphs. A new vector is generated that represents a new graph that contains multiple vertices. The new vector may contain an arithmetic aggregation of vertex vectors that respectively represent multiple vertices and/or a vector that represents a virtual vertex that is connected to the multiple vertices by respective virtual edges. In the many known vectors, some similar vectors that are similar to the new vector are identified. The new graph is automatically characterized based on a subset of the known graphs that the similar vectors represent.

Abstract: A method for processing a measurement signal T1 of a temperature delivered by a sensor includes: digitally modeling, by a modeled signal T2, the temperature measured by the sensor; and estimating a lag error signal for this sensor, based on the modeled signal T2 and of a signal T3 obtained by filtering the modeled signal, the filtering being parameterized by an estimate of a time constant of the sensor. A temperature signal is obtained by adding to a signal T4, derived from the measurement signal T1, the product of a real parameter K and a signal resulting from the subtraction of the signal T4 from the modeled signal T2. The value of the parameter K applied during the obtaining step varies over time and depends on the value of the estimated lag error signal.

Abstract: Methods and apparatus for identifying alternative splicing events. The method comprises receiving a dataset of percent spliced in (PS I) values for each of a plurality of biological samples, wherein the plurality of biological samples includes a first population of samples having a first characteristic and a second population of samples having a second characteristic different from the first characteristic, fitting, to the dataset, a probabilistic model to identify clusters of samples in the dataset, calculating cluster characteristics for each of the clusters, filtering the clusters based, at least in part, on the cluster characteristics to identify a subset of clusters, each of which is associated with an alternative splicing event, and storing on the at least one storage device, information associated with the identified alternative splicing events.

Abstract: A method at a computing device including obtaining a first container image from a host computing device; executing a second container image at the computing device, the executing comprising: starting a container from the first container image, the container being for a development environment on the computing device; and customizing the container for a local environment on the computing device, thereby creating a customized container; and compiling developed code within the customized container.

Abstract: The present invention provides a method including receiving a data set for an entity including data associated with criterions. Each of the data entries is grouped into a grouping. Then generating an error probability for the grouping. The error probability includes an ensemble of algorithms that each provide an indication of a potential error within the grouping. Also, generating a flow metric for the grouping by evaluating a magnitude of values for the data entries of the grouping. Then determining a materiality factor for each grouping using the flow metric for the grouping, a planned materiality threshold, and a performance materiality and generating a risk of material error for the grouping using the error probability and the materiality factor of the grouping. Also, highlighting a grouping within the data set based on the risk of material error of the grouping.

Abstract: Systems and methods of managing power distribution in a portion of an electrical power grid with at least one power storage, including: receiving at least one power consumption rule from at least one consumer of the power grid, analyzing power consumption data from at least one power consumption meter connected to the power grid, applying the at least one power consumption rule on the analyzed power consumption data, based on forecasted data, and managing power consumption for the at least one consumer, based on the result of the at least one power consumption rule, and also based on a power capacity status of the at least one power storage.

Abstract: A low-cost solution for performing a quantum operation provides for defining a target unitary that rotates a single qubit by a target rotation to place the qubit in a target state. The method further provides for identifying multiple projective rotation circuits that each implement an approximation of the target rotation upon successful measurement and assigning a selection probability to each of the multiple identified projective rotation circuits, the selection probability being defined by a metric that increases in value in proportion to a proximity between a qubit state resulting from the approximation and the target qubit state. The method further provides for probabilistically selecting one of the multiple projective rotation circuits according to the assigned selection probabilities and outputting a circuit definition that includes the selected projective rotation circuit.

Abstract: Systems, apparatuses, and methods for implementing a safety monitor framework for a safety-critical graphics processing unit (GPU) compute application are disclosed. A system includes a safety-critical GPU compute application, a safety monitor, and a GPU. The safety monitor receives a compute grid, test vectors, and a compute kernel from the safety-critical GPU compute application. The safety monitor generates a modified compute grid by adding extra tiles to the original compute grid, with the extra tiles generated based on the test vectors. The safety monitor provides the modified compute grid and compute kernel to the GPU for processing. The safety monitor determines the likelihood of erroneous processing of the original compute grid by comparing the actual results for the extra tiles with known good results. The safety monitor complements the overall fault coverage of the GPU hardware and covers faults only observable at the application programming interface (API) level.

Abstract: A method for reducing peak electrical demand of a building includes generating a baseline electrical demand profile over a target time period from a model. The baseline electrical demand profile can be used to define a policy including a peak management period having at least a first sub-period and a subsequent second sub-period, the first sub-period having a first temperature set point for at least one air handling system of the building that is different from a normal operating temperature set point, the second sub-period having a second temperature set point different from both the normal operating temperature set point and the first temperature set point, and implementing the policy. The model can be generated from one or more of historical electrical data for the building, weather forecast data, building and equipment operating schedules, sales data, and data based on information received from a video camera located in the building.

Abstract: A search space used for multicriteria optimization in radiation treatment planning can be expanded using extrapolation. For instance, given an initial set of base plans, one or more virtual plans can be generated by assigning a weight to each base plan such that at least one of the weights is less than zero and/or such that the sum of the weights is not normalized to 1. The dose distribution for the virtual plan is computed as the weighted sum of the dose distributions of the base plans. Virtual plans criteria can be used together with the initial set of base plans to define an expanded search space within which interpolation can be performed to identify an optimal treatment plan.

Abstract: Systems and methods are provided for detecting road user frustration such as aggressive road users and/or uncomfortable road user behavior, and evaluating autonomous vehicle driving behavior that results in the road user frustration. An autonomous vehicle fleet can leverage information about typical road user behavior to create an index measuring the frustration level of other road users and/or likeability of autonomous vehicle behavior by other road users. Additionally, perception algorithms associated with sound detection and tracking can define human characteristics associated with frustrated drivers or other road users. Autonomous vehicle performance can be improved as a result of data analysis from the behavior of other road users.

Abstract: A computer-implemented method of extracting properties of one or more variables of a mathematical transformation in a document identified by automatic feature engineering (AFE) is provided. The document is parsed to extract at least one of a mathematical formula including identifying data, a textual description of the one or more variables of the mathematical transformation, or a category identifier to which the document belongs. Constraints are determined to apply to the one or more variables extracted from the mathematical transformations in the document. At least one candidate feature is automatically generated from a portion of an input data that conforms to the determined constraints.

Abstract: A trained artificial intelligence engine analyzes a subject's dental images and dental survey results to determine whether the subject has an apparent dental condition. The artificial intelligence engine is trained using manually-classified dental images and model survey results. The trained artificial intelligence engine can annotate the subject's dental images to indicate landmark structures and the location of the apparent dental condition. In addition, the trained artificial intelligence engine can generate a confidence score that indicates the likelihood that the subject has the apparent dental condition.