Neural Analytics aims robotic transcranial doppler at COVID-19 patients

Published by Daniel at February 1, 2022

An algorithm to detect wrist fractures, Echo-IA for echocardiogram analysis, and a transcranial doppler for COVID-19 patients to predict clotting.

FDA permits marketing of artificial intelligence algorithm for detection of wrist fractures

The OsteoDetect is a software intended to recognize many types of wrist fractures in adult patients. The software utilizes an AI algorithm to examine and highlight areas of the distal radius during the review of posterior-anterior and medial-lateral X-ray images for signs of distal radius fractures.
The software identifies the location of the fracture in the image to aid the provider make a better assessment and diagnosis. A retrospective investigation of 1,000 radiographs consisted on the assessment of the independent performance of the image analysis algorithm for identifying wrist fractures and accuracy of its localization versus the performance of three board-certified orthopedic hand surgeons with aid from OsteoDetect. The research demonstrated that the providers’ performance in recognizing wrist fractures was increased using the software, including improved sensitivity, specificity, positive and negative predictive values, in contrast with their unaided performance according to standard clinical practice.(1,2,)

Bay Labs’ EchoMD AutoEF Software Receives FDA Clearance for Fully Automated AI echocardiogram analysis

Ejection fraction is the single most widely utilized metric of cardiac function and is utilized in many clinical settings. The EchoMD AutoEF’s algorithm removes the need to manually select views, keep the best clips, and manage them for quantification, a regularly time-consuming and highly variable method.
Bay Labs’ application of artificial intelligence for image choice and automated EF determination will allow clinicians with varying levels of experience to receive an accurate evaluation of ventricular function and description of the echocardiograms.
Unlike popular technologies, EchoMD AutoEF automatically analyzes all the relevant digital video clips of cardiac cycles from a patient’s echocardiography study, ranks them

according to image features, and selects the most suitable ones to determine the EF. The software algorithm “determines” its choice of the clip and EF estimation after being trained on a carefully curated dataset of over 4,000,000 images, representing 9,000 patients, creating a massive archive of meticulously curated studies optimized for deep training algorithm construction.(3)

Neural Analytics aims robotic transcranial doppler at COVID-19 patients

Health care experts are publishing about a proliferation of dangerous blood clots in the lungs and other major organs of COVID-19 patients, increasing the risk of stroke and other life-threatening difficulties. Los Angeles-based startup Neural Analytics Inc. is expanding its robotically assisted transcranial doppler system for a real-time identification of clots and disruptions in blood flow within the brain. Neural Analytics obtained FDA and CE mark authorization for its Neuralbot robotic assistance technology, paving the way for the Lucid Doppler ultrasound system to be used in a broader range of settings.. The independent system uses artificial intelligence (AI) and cloud computing, in addition to robotics, to noninvasively measure blood flow and clotting. The robots establish an area over the skull between the ear and the eye where the ultrasound can be positioned to visualize the brain’s major arteries. (1,2,3)

The algorithms aid in recognizing problems, including blood clots, changes in velocity, occlusions, the size of clots, and whether emboli are moving through the arteries. Patients can be scanned in less than five minutes at the bedside, an added advantage due to the current pandemic as patients in isolation units can be evaluated with minimal exposure to clinical workers.
(4,5)