Abstract: A system for improving a cardiac ablation procedure includes a recommendation unit configured to provide an initial recommendation for at least one proposed ablation line for an ablation procedure on an anatomy of a patient. The system displays the at least one proposed ablation line on an anatomical map of the anatomy. The recommendation unit comprises a first and a second trained machine-learning model. Both the first and second trained machine-learning models have the same structure.

Abstract: An ablation procedure guidance method is provided herein. The ablation procedure guidance method is implemented by a generation engine executing on a processor. The ablation procedure guidance method includes receiving inputs including images and conduction velocity vector estimations and generating a digital twin of an anatomical structure utilizing the images and the conduction velocity vector estimations. The ablation procedure guidance method also includes presenting, via a user interface of the generation engine, the digital twin to provide precision ablation guidance of the anatomical structure and provide electrophysiology information of the anatomical structure.

Abstract: A method includes receiving a data set including medical information of respective patients, respective types of a clinical procedure performed on the patients, and respective survival rates of the patients. A survival tree graph is generated by maximizing a cost function of differences in the survival rates between the types of the clinical treatment procedure. A type of the clinical procedure is selected for a given patient, based on the survival tree graph.

Abstract: A method and apparatus for performing facial registration includes selecting a plurality of target locations for registration. It is indicated that registration is taking place at each of the plurality of target locations, and it is indicated that registration is complete at the each of the plurality of target locations as each target location is registered. Once the registration of all target locations is complete, it is indicated to the system.

Abstract: A gateway and a method are provided for securely storing (and/or securely retrieving) medical data the method for storing comprising at least steps of: obtaining, in a secure environment, medical data which include patient property data as well as patient identifier data wherein the patient identifier data indicate at least one patient to which the patient property data correspond; generating, in the secure environment de identified medical data by replacing the patient identifier data in the medical data with non-patient-identifying coded identifiers; generating, in the secure environment, a re-identifying database indicating correspondences between the non-patient-identifying coded identifiers and the patient identifier data; generating n encrypted re-identifying database by applying, in the secure environment, at least one symmetric and/or asymmetric encryption method to the re-identifying database; storing the encrypted re-identifying database and the de-identified medical data on a cloud storage outsi

Abstract: Systems and methods are disclosed for cardiac mapping. Techniques comprise extracting beat segments from biometric data obtained from a patient during an electrophysiology procedure and classifying the beat segments into clusters, each cluster represents an arrhythmia type. Maps are generated to visualize the biometric data. Each map is generated based on data associated with beat segments in one of the clusters.

Abstract: A system that includes a memory and a processor is provided. The memory stores processor executable program instructions of a mapping engine. The processor executes the program instructions of the mapping engine to cause the system to receive information with respect to initiating a medical procedure for a patient. The information includes health demographics and biometric data of the patient. The processor executes the program instructions of the mapping engine to also cause the system to predict workflow preferences for users performing the medical procedure from the information by employing a model of the mapping engine and to generate, using the workflow preferences, image display options to the users for presentation by the system.

Abstract: A method and apparatus for implementing an evaluation engine implemented using a processor coupled to a memory. The evaluation engine receives effective points respective to cardiac tissue of a patient. The evaluation engine determines an anatomical structural classification for each of the effective points based on a structural segmentation for the cardiac tissue and provides the anatomical structural classification with the each of the plurality of effective points to support treatment of the cardiac tissue.

Abstract: A method and apparatus of aiding a physician in locating an area to perform an ablation on patients with atrial fibrillation (AFIB) includes receiving data at a machine, from at least one device, the data including information relating to a desired location for performing an ablation, generating, by the machine, an optimal location for performing the ablation based upon the data and inputs, and providing an optimal set of ablation parameters for performing the ablation at the location output by the model, or at a location specified by the physician.

Abstract: A method is provided by an ablation contiguity engine executed by a processor. The method includes receiving at least wide area circumferential ablation points respective to tissue of an intra-body organ, estimating contiguity of the wide area circumferential ablation points with respect to locations to generate a contiguity estimation, and providing the contiguity estimation with the each of the wide area circumferential ablation points to support treatment of the tissue.

Abstract: A method is provided. The method includes receiving input intracardiac signals from a monitoring and processing apparatus. Each of the input intracardiac signals includes artifacts. The method includes encoding, by an autoencoder, the input intracardiac signals utilizing an intracardiac dataset to produce a latent representation. The method also includes decoding, by an autoencoder, the latent representation to produce output intracardiac signals. The output intracardiac signals include the input intracardiac signals reconstructed without the signal artifacts.

Abstract: A method is provided. The method is implemented by a detection engine embodied in processor executable code stored on a memory and executed by at least one processor. The method includes modeling a vector velocity field that measures and quantifies a velocity of electrocardiogram data signals that pass through a local activation time. The method further includes determining codes for each point in plane to provide a color code vector field image; detecting focal and rotor indications by using kernels to scan the color coded vector field image; and classifying the focal and rotor indications into perpetuators.

Abstract: A system and method include a memory storing processor executable code for a denoised autoencoder, and one or more processors coupled to the memory to execute the processor executable code to receive raw signal data comprising signal noise, encode, by the denoised autoencoder, the raw signal data by performing a denoising autoencoder operation to produce a latent representation, and decode, by the denoised autoencoder, the latent representation to produce clean signal data reconstructed without the signal noise. A first filter is applied to a signal to emphasize activity within the signal and to produce a first modified signal, a rectifier and a second filter are applied to the first modified signal to smooth areas of the first modified signal with clinical importance and to produce a second modified signal, and high frequency energy zones of the second modified signal are automatically detected using an energy threshold to produce a weights vector.

Abstract: A system includes an interface and a processor. The interface is configured to receive data that characterizes an initial ablation operation applied to a region of a heart of a patient. The processor is configured to automatically specify, based on the received data, if found required, a complementary ablation operation to be applied to the region.

Abstract: A system includes an interface and a processor. The interface is configured to receive a plurality of electrophysiological (EP) measurements performed in a heart of a patient. The processor is configured to estimate a wall thickness at a specified location of the heart based on the EP measurements.

Abstract: An endobronchial probe includes a deflector having a bore extending therethrough at an angle to its long axis for passage of a tool. The probe includes a location sensor and an ultrasound imager. A push-pull anchoring system comprises a plurality of guides and wires that can extend beyond the guides and retract within the guides. When extended the wires diverge from the long axis sufficiently to engage a bronchus. The probe includes a balloon disposed on the distal segment contralateral to bore that when inflated urges the mouth of the bore into contact with the bronchial wall.

Abstract: An apparatus includes a plurality of substrates, configured to adhere to a body of a subject via respective pieces of adhesive material, and multiple coils coupled to the substrates, respectively. Other embodiments are also described.

Abstract: A method includes receiving one or more images of an organ of a patient. A physical model of at least a target region of the organ is manufactured based on the images. A distal tip of a medical probe is pre-shaped to fit a surface of the physical model corresponding to the target region.

Abstract: A method and apparatus for performing facial registration includes selecting a plurality of target locations for registration. It is indicated that registration is taking place at each of the plurality of target locations, and it is indicated that registration is complete at the each of the plurality of target locations as each target location is registered. Once the registration of all target locations is complete, it is indicated to the system.

Abstract: A system and method for an improved magnetic sensor for use as a three three-axial sensor (TAS) is disclosed. The TAS provides an optimal sensor, concentric and the three coils are identical, with higher sensitivity resulting, a plurality of layers. More specifically, the sensor is made of multiple layers of printed circuit board (PCB). The multiple PCB layers are stacked according to various geometric shapes to create a sensor that enhances positional awareness. Concentric sensors may be arranged in a cube, stacked squares, or stacked squares decreasing in size to form a pyramid structure.