Researchers trained and validated a deep learning model that can detect subtle changes across post-treatment brain scans and forecast glioma recurrence with up to 89 percent accuracy.

Cornell researchers have created a computer model that can help produce farms and food processing facilities control COVID-19 outbreaks, keep workers safe and the food chain secure.

Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human observers.

Patient Capital Management, a value investing firm, released its “Patient Capital Opportunity Equity Strategy” first quarter ...

A woman who asked the AI tool ChatGPT to give her a palm reading for fun was left horrified when it made a rather dark ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

Coronary artery disease (CAD) is the leading cause of death in the United States. Although effective preventive treatments ...

Advocate Health has been aiming to take cognitive and documentation load off its nursing staff by implementing AI and virtual nursing. The Charlotte, N.C.-based health system recently launched Project ...

The following is a summary of “Development and validation of prediction algorithm to identify tuberculosis in two large ...

During a Cabinet meeting last week, US Health and Human Services Secretary Robert F. Kennedy Jr. downplayed what is now the ...

Health systems around the country are piloting and rolling out AI projects to improve efficiencies and, ultimately, patient care. But how many of these initiatives are actually driving a return on ...

The study highlights the crucial role of human oversight in AI-driven healthcare. Researchers emphasise the “inherent ...