(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 ...

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 ...

Preparing for a successful MRI screening involves more than just lying still. Certain materials can interact with the strong magnetic field of an MRI (magnetic resonance imaging) machine, so what you ...

ABSTRACT: Background: Treatment-resistant depression (TRD) poses significant clinical challenges, with many patients inadequately responding to augmentation strategies like aripiprazole. Pramipexole, ...

You will be redirected to our submission process. The “Machine Learning for Medical Image Analysis” Research Topic is dedicated to presentations from the 29th Conference in Medical Image Understanding ...

The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our ...

Breast and Gynecologic Cancer Care for Sexual Minority Women and Transgender People The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly ...