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 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: Disclosed are systems and methods for safely and effectively deploying a hemoclip onto a patient's desired target using a hemoclip system. For instance, disclosed is an catheter that includes a lumen for a hemoclip to pass through. Additionally, disclosed are hemoclips that are configured to be in a compressed position until the hemoclip is deployed out of a catheter where it opens. Then, the hemoclip may be clipped onto the target to encapsulate the desired target within the patient. Once the hemoclip is clamped onto the target, the catheter can move onto the next target for successive deployment and utilization of the hemoclips without manual reload.

Abstract: A medical diagnostic instrument can include a housing with a mounting interface configured to support a plurality of imaging devices, each configured to capture image data of a different anatomical region of a patient. The instrument can include an electronic processing circuitry configured to, responsive to an attachment of an imaging device to the mounting interface, identify the imaging device and, based on the identification of the imaging device, select 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 and locally execute or cause a remote computing device to execute the at least one machine learning model. 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 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 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: Disclosed are systems and methods for safely and effectively deploying a hemoclip onto a patient's desired target using a hemoclip system. For instance, disclosed is an catheter that includes a lumen for a hemoclip to pass through. Additionally, disclosed are hemoclips that are configured to be in a compressed position until the hemoclip is deployed out of a catheter where it opens. Then, the hemoclip may be clipped onto the target to encapsulate the desired target within the patient. Once the hemoclip is clamped onto the target, the catheter can move onto the next target for successive deployment and utilization of the hemoclips without manual reload.

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 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 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: 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: Improved external chargers for charging an implantable medical device, and particularly useful in charging a plurality of such devices, are disclosed. Each of the various embodiments include a plurality of field customization coils for customizing the magnetic charging field generated by the external charger such that the magnetic charging field is not radially symmetric. For example, one embodiment includes a primary coil with a plurality of field customization coils distributed radially with respect to the coil. The generated magnetic charging field can be rendered radially asymmetric by selectively activating or disabling the field customization coils in response to data quantifying the coupling between the various implants and the field customization coils in the charger.

Abstract: Apparatus and methods for charging an implanted medical device.

Abstract: A neurostimulation system and method of providing therapy to a patient implanted with a plurality of electrodes using a plurality of electrical sources is provided. A source-electrode coupling configuration is determined from the electrical sources and electrodes. Electrical current is respectively conveyed between active ones of the plurality of electrical sources and active subsets of the plurality of electrodes in accordance with the determined source-electrode coupling configuration. The total number of the electrodes in the active electrode subsets is greater than the total number of the active electrical sources.

Abstract: A lead is configured and arranged for brain stimulation. The lead includes a proximal end and a distal end. The proximal end includes a plurality of terminals disposed at the proximal end. The distal end has a non-circular transverse cross-sectional shape and includes a plurality of electrodes disposed at the distal end. A plurality of conductive wires electrically couple at least one of the plurality of electrodes to at least one of the plurality of terminals.

Abstract: A neurostimulation system and method of providing therapy to a patient implanted with a plurality of electrodes using a plurality of electrical sources is provided. A source-electrode coupling configuration is determined from the electrical sources and electrodes. Electrical current is respectively conveyed between active ones of the plurality of electrical sources and active subsets of the plurality of electrodes in accordance with the determined source-electrode coupling configuration. The total number of the electrodes in the active electrode subsets is greater than the total number of the active electrical sources.

Abstract: A method and neurostimulation system for treating a patient are provided. A plurality of pulsed electrical waveforms are respectively delivered within a plurality of timing channels of the neurostimulation system, thereby treating the patient. Sets of stimulation pulses within the pulsed electrical waveforms that will potentially overlap temporally are predicted. Stimulation pulses in the respective pulsed electrical waveforms are temporally shifted in a manner that prevents overlap of the potentially overlapping pulse sets while preventing frequency locking between the timing channels.

Abstract: A method for manufacturing a lead includes forming an elongated multi-lumen conductor guide defining a central stylet lumen and a plurality of conductor lumens arranged around the stylet lumen. The multi-lumen conductor guide is twisted to form at least one helical section where the plurality of conductor lumens each forms a helical pathway around the stylet lumen. Each of the helical pathways of the at least one helical section has a pitch that is no less than 0.04 turns per centimeter.

Abstract: A method for manufacturing a lead includes forming an elongated multi-lumen conductor guide defining a central stylet lumen and a plurality of conductor lumens arranged around the stylet lumen. The multi-lumen conductor guide is twisted to form at least one helical section where the plurality of conductor lumens each forms a helical pathway around the stylet lumen. Each of the helical pathways of the at least one helical section has a pitch that is no less than 0.04 turns per centimeter.