Abstract: Systems and methods for accurate, reliable, and comprehensive multi-disease retinal screening is disclosed. Leveraging a hierarchical deep learning architecture, a system can optimize feature extraction through a convolutional neural network (CNN) by first classifying images as normal or abnormal, and then discern the presence and severity of specific diseases using disease-specific CNN branches. The hierarchical deep learning architecture can promote feature disentanglement by associating each branch with a potentially unique set of parameters, enhancing disease-specific feature sensitivity. The system can further refine disease detection accuracy by implementing a probability classifier to exploit patterns of disease co-occurrence. A Monte Carlo Expectation-Maximization algorithm can optimize the parameters of the probability classifier, and a subsequent prediction calibration step can correct potential biases in the final predictions.

Abstract: Disclosed in an integrated diagnostic imaging system (IDIS) designed to optimize the process of medical imaging and disease diagnosis. The IDIS can incorporate an intuitive disease selection interface that allows clinicians to select potential diseases of interest to screen for. Subsequently, a dynamic protocol selection algorithm can utilize a comprehensive imaging protocol database to determine the optimal imaging protocol corresponding to the selected diseases. The chosen protocols can be then executed by an imaging system, which can include different imaging modalities. Following the image acquisition, image analysis processes specific to the targeted diseases can process the images and identify pertinent features. The diagnostic results can be displayed in an intuitive and interactive results display, enhancing clinician interpretation and decision-making.

Abstract: A handheld, portable devices with integrated artificial intelligence (AI) configured to assess a patient's body part to detect a disease and methods of operating such devices are disclosed. In some cases, a device can be a retina camera configured to assess a patient's retina and, by using an on-board AI retinal disease detection system, provide real-time analysis and diagnosis of the patient's retina. Easy and comfortable visualization of the patient's retina can be facilitated using such retina camera, which can be placed over the patient's eye, display the retina image on a high-resolution display, analyze a captured image by the on-board AI system, and provide determination of presence of a disease.

Abstract: A medical diagnostic instrument can include a housing with a mounting interface configured to support a plurality of imaging devices, each of the plurality of imaging devices configured to capture image data of a different anatomical region of a patient. The instrument can include an electronic processing circuitry, which can include a memory and a processor. The processor can be configured to, responsive to an attachment of an imaging device of the plurality of imaging devices to the mounting interface, retrieve from the memory and execute at least one machine learning model from a plurality of machine learning models configured to identify, based on image data, one or more diseases of the patient. The at least one machine learning model can be configured to identify one or more diseases of an anatomical region of the patient an image data of which the imaging device is configured to capture.

Abstract: A device for dispensing biomaterial includes a handle configured to receive a syringe, the syringe including a biomaterial and a threaded plunger, and an engagement pin retained within the handle and slidable between a first position and a second position. The engagement pin is configured to engage the threaded plunger in the first position, the engagement pin is further configured to disengage from the threaded plunger in the second position.

Abstract: A device for dispensing biomaterial includes a handle configured to receive a syringe, the syringe including a biomaterial and a threaded plunger, and an engagement pin retained within the handle and slidable between a first position and a second position. The engagement pin is configured to engage the threaded plunger in the first position, the engagement pin is further configured to disengage from the threaded plunger in the second position.

Abstract: A handheld, portable devices with integrated artificial intelligence (AI) configured to assess a patient's body part to detect a disease and methods of operating such devices are disclosed. In some cases, a device can be a retina camera configured to assess a patient's retina and, by using an on-board AI retinal disease detection system, provide real-time analysis and diagnosis of the patient's retina. Easy and comfortable visualization of the patient's retina can be facilitated using such retina camera, which can be placed over the patient's eye, display the retina image on a high-resolution display, analyze a captured image by the on-board AI system, and provide determination of presence of a disease.

Abstract: A medical diagnostic system can assess quality of a representation of a body part determined based on a response of the body part to exposure to electromagnetic waves, process the representation with a disease detection machine learning model to determine a certainty measure for a presence of a disease, determine a quality score for the representation based on the quality of the representation and the certainty measure, and discard the at least one representation based on the quality score. Combining machine learning in conjunction with one another, such as, for quality assessment and disease detection, can provide for more accurate image quality analysis, lead to faster medical imaging, and reduce the need to retake images or entirely re-perform medical imaging. The system can be easier to use, be more robust and faster than other systems by reducing the need to retake images while maintaining performance of the system.

Abstract: A surgical implant system includes a surgical implant for securing adjacent vertebrae of a spine to each other. The surgical implant includes a spacer having at least one implant eyelet. The surgical implant system also includes at least one vertebral anchor configured for insertion through the at least one implant eyelet to fasten the surgical implant to the spine. The vertebral anchor has a tip portion, a head portion, an elongate shank extending from the head portion, and an elongate fin extending from the head portion and along a surface of the elongate shank. The elongate shank and the elongate fin form a generally t-shaped cross-section.

Abstract: A medical diagnostic instrument can include a housing with a mounting interface configured to support a plurality of imaging devices, each of the plurality of imaging devices configured to capture image data of a different anatomical region of a patient. The instrument can include an electronic processing circuitry, which can include a memory and a processor. The processor can be configured to, responsive to an attachment of an imaging device of the plurality of imaging devices to the mounting interface, retrieve from the memory and execute at least one machine learning model from a plurality of machine learning models configured to identify, based on image data, one or more diseases of the patient. The at least one machine learning model can be configured to identify one or more diseases of an anatomical region of the patient an image data of which the imaging device is configured to capture.

Abstract: A surgical implant system includes a surgical implant for securing adjacent vertebrae of a spine to each other. The surgical implant includes a spacer having at least one implant eyelet. The surgical implant system also includes at least one vertebral anchor configured for insertion through the at least one implant eyelet to fasten the surgical implant to the spine. The vertebral anchor has a tip portion, a head portion, an elongate shank extending from the head portion, and an elongate fin extending from the head portion and along a surface of the elongate shank. The elongate shank and the elongate fin form a generally t-shaped cross-section.

Abstract: Systems and methods that can perform real-time, artificial intelligence (AI) analysis of live retinal imaging on a medical diagnostics device are disclosed. In some cases, a retinal diagnostics instrument includes an imaging device configured to capture video data of an eye of a patient and an electronic processing circuitry configured to assess a quality of the video data of the eye of the patient, process the plurality of images of the eye with at least one machine learning model to determine a presence of at least one disease from a plurality of diseases that the at least one machine learning model has been trained to identify, and provide an indication of the presence of the at least one disease.

Abstract: A retinal diagnostics instrument can include an imaging device configured to capture image data of an eye of a patient and an electronic processing circuitry configured to execute a communication control method. The communication control method can include providing input data to and receiving output data from a plurality of modules configured to facilitate diagnosing a retina of the eye of the patient using the image data. The communication control method can further includes causing independent processing of input data by any first module of the plurality of modules and any second module of the plurality of modules, any second module being different than any first module, where processing of input data by any first module does not depend on directly providing data to or receiving data from any second module and vice versa.

Abstract: A device for dispensing biomaterial includes a handle configured to receive a syringe, the syringe including a biomaterial and a threaded plunger, and an engagement pin retained within the handle and slidable between a first position and a second position. The engagement pin is configured to engage the threaded plunger in the first position, the engagement pin is further configured to disengage from the threaded plunger in the second position.

Abstract: Systems, methods, and software described herein to provide data to large-scale processing framework (LSPF) nodes in LSPF clusters. In one example, a method to provide data includes receiving an access request from a LSPF node to access data in accordance with a version of a distributed file system. The method further includes, responsive to the access request, accessing the data for the LSPF node in accordance with a different version of the distributed file system, and presenting the data to the LSPF node in accordance with the version of the distributed file system used by the LSPF node.

Abstract: A device for dispensing biomaterial includes a handle configured to receive a syringe, the syringe including a biomaterial and a threaded plunger, and an engagement pin retained within the handle and slidable between a first position and a second position. The engagement pin is configured to engage the threaded plunger in the first position, the engagement pin is further configured to disengage from the threaded plunger in the second position.

Abstract: Systems, methods, and software described herein facilitate an enhanced service architecture for large-scale data processing. In one implementation, a method of providing data to a large-scale data processing architecture includes identifying a data request from a container in a plurality of containers executing on a host system, wherein the plurality of containers each run an instance of a large-scale processing framework. The method further provides identifying a storage repository for the data request, and accessing data associated with the data request from the storage repository. The method also includes caching the data in a portion of a cache memory on the host system allocated to the container, wherein the cache memory comprises a plurality of portions each allocated to one of the plurality of containers.

Abstract: A device for dispensing biomaterial includes a handle configured to receive a syringe, the syringe including a biomaterial and a threaded plunger, and an engagement pin retained within the handle and slidable between a first position and a second position. The engagement pin is configured to engage the threaded plunger in the first position, the engagement pin is further configured to disengage from the threaded plunger in the second position.

Abstract: A device for dispensing biomaterial includes a handle configured to receive a syringe, the syringe including a biomaterial and a threaded plunger, and an engagement pin retained within the handle and slidable between a first position and a second position. The engagement pin is configured to engage the threaded plunger in the first position, the engagement pin is further configured to disengage from the threaded plunger in the second position.

Abstract: Systems, methods, and software described herein facilitate accelerated input and output operations with respect to virtualized environments. In an implementation, upon being notified of a guest read process initiated by a guest element running in a virtual machine to read data into a location in guest memory associated with the guest element, a computing system identifies a location in host memory associated with the location in the guest memory and initiates a host read process to read the data into the location in the host memory that corresponds to the location in the guest memory.