A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

Traditionally, nutrition professionals have relied on self-reported food logs, interviews, and recall surveys, methods prone ...

The American Heart Association is launching an AI Assessment Lab in partnership with Dandelion Health to validate predictive ...

When leaders adopt the honing mindset with AI, it becomes part of organizational daily action rather than an episodic ...

Earlier this year, Tandem Diabetes Care announced a voluntary correction for certain t:slim X2 insulin pumps after identifying a potential defect that could interrupt insulin delivery and pose health ...

Priyanjali and Shyanjali Datta are leveraging AI to transform women's healthcare in rural India, bridging gaps with their voice-first platform, MyHealthline.

Heyjun Park of the Johns Hopkins Bloomberg School of Public Health identifies biological and behavioral markers linked to heart disease, diabetes and pregnancy outcomes. She will speak Wednesday.

Type 2 diabetes (T2D), once considered an adult-onset disease, is increasing at alarming rates in children and adolescents. Before the mid-1990s, just ...

Aaroogya AI Foundation, led by sisters Priyanjali and Shyanjali Datta, is using artificial intelligence to transform women’s healthcare in rural India. Its voice-first platform, MyHealthline, enables ...

Phenotyping patients can help to identify potential heart failure with preserved ejection fraction (HFpEF) as well as improve patient outcomes.

A USC-led team has developed an innovative way to predict blood pressure outcomes after bariatric surgery that outperforms ...