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 ...

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 ...

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

Dr. Erik Langhoff, chief medical officer and consultant for the Bronx Regional Health Information Organization, discusses how ...

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, ...

This study aims to conduct an in-depth analysis of the disease burden pattern and future trends of thyroid cancer in China, and constructed an intelligent prediction model in combination with hospital ...