Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in ...

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain unclear. In this study, we ...

In a presentation delivered at the 26th Annual International Lung Cancer Congress, Sandip Patel, MD, discussed the rise of AI-enabled imaging and digital pathology in predicting treatment response, ...

Integrating clinical data with patient insights, this model improves risk prediction for urgent care visits in lung cancer patients undergoing systemic therapy.

Every three months, participants in the Metaculus forecasting cup try to predict the future for a prize pot of about $5,000.

A new study shows that routine hospital blood tests could help predict spinal cord injury severity and survival chances.

The scientists used 2021's Hurricane Nicholas, a Category 1 storm that hit the Houston area, to test the accuracy of their ...

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.

From CASP to the Virtual Cell Challenge, researchers are leveraging science competitions and high-risk, high-reward grants to ...