A modified large language model called Delphi-2M analyses a person’s medical records and lifestyle to provide risk estimates ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...

(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analysing mammograms. The findings were published today in ...

For pregnant women, ultrasounds are an informative (and sometimes necessary) procedure. They typically produce ...

A machine learning tool’s analysis of over 140,000 factors outperforms a fracture liaison service approach to fracture risk ...

Sleep disturbances are a key contributor to agitation. Poor sleep quality, characterized by frequent awakenings, insomnia, and fragmented rest, affects up to half of dementia patients in advanced ...

Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk of cardiovascular disease rises. Mammographic features such as breast ...

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, ...

Abstract: Heart disease detection from medical images such as X-rays, CT scans, and MRIs is a critical task in the healthcare industry. In this proposed work, we explore the application of ...

Abstract: The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, ...