AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational modeling, genomics and drug development. The authors highlight how ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

The predominance of negative sentiment aligns with early public reactions to transformative technologies, where concerns about privacy, job loss, misinformation and ethical boundaries often amplify ...

Black Forest Labs Inc., a startup that develops artificial intelligence models optimized for image generation tasks, has ...

In the context of quantum computing, open source platforms allow developers, researchers, and organisations to collaborate, ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

The distribution of false information on the internet is not only an annoyance; it has the ability to alter the outcome of ...

Now that we are spending more and more of our lives online, the threat from cybercriminals is ubiquitous and growing. Matthew ...

Contributed by Dawn Wright, Chief Scientist, Esri Animals across the globe are running out of places to live. Populations of ...

Patients at primary care clinics received more dementia diagnoses after implementation of a machine-learning tool designed to ...

Recent advancements in artificial intelligence (AI) have revolutionized the application of electrocardiography (ECG) in ...

Learn more about the trade of the green mineral variscite, and how experts can use AI to identify where the original trade ...