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 ...

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 ...

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, ...

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

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

Matthew Partridge reviews the key trends in the cybersecurity sector and how to profit ...

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 ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...