Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

Abstract: The current variants of the Segment Anything Model (SAM), which include the original SAM and Medical SAM, still lack the capability to produce sufficiently accurate segmentation for medical ...

Marijuana during pregnancy is linked to poor birth outcomes and developmental delays in children, a leading medical society advised. By Roni Caryn Rabin Women who are pregnant, planning a pregnancy or ...

INDIANAPOLIS — Indiana-based Cook Medical has partnered with Siemens Healthineers to create a radiation-free, image-guided MRI machine. In a press release, the companies announced they had developed ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Artificial intelligence startup OpenEvidence says its AI model has scored a perfect 100% on the United States Medical Licensing Examination (USMLE), raising the bar on the proficiency of AI models to ...

The Department of Justice recently issued guidance encouraging federal agencies to use “artificial intelligence and machine translation to communicate with individuals who are limited English ...

Abstract: The use of deep learning (DL) in medical image analysis has significantly improved the ability to predict lung cancer. In this study, we introduce a novel deep convolutional neural network ...

You will be redirected to our submission process. The “Machine Learning for Medical Image Analysis” Research Topic is dedicated to presentations from the 29th Conference in Medical Image Understanding ...

ALBANY — Last week, roughly 32,000 people cast their ballots in school board elections in Monroe County using a voting machine that’s been a source of controversy in New York for years. It was the ...