From automation to adaptive care, healthcare’s smartest machines are learning to care.

AI can help transform patient feedback into actionable insight, helping healthcare leaders detect trends, improve experience ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine’s tough problems.

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

A new randomized clinical trial finds that simple reminder emails substantially increase clinicians' use of a database that ...

Objective Patients with atrial fibrillation (AF) frequently have multiple comorbidities that increase the risk of hospitalisation and contribute to higher mortality. However, studies examining the ...

Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

Composite endpoints are widely used in large randomised cardiovascular outcome trials. They are frequently referred to as ...

Artificial intelligence (AI) is revolutionising the field of drug discovery and disease modelling, with a significant impact ...