Medicine

A neural network detected early signs of pancreatic cancer more effectively than doctors who used the usual risk-assessment criteria. Researchers at MIT and oncologists at Beth Israel Medical Center in Boston...

Biologists used neural networks to find a new class of antibiotics. Researchers at MIT and Harvard trained models to screen chemical compounds for those that kill methicillin-resistant Staphylococcus aureus (MRSA), the deadliest among bacteria that have...

A microscope enhanced with augmented reality is helping pathologists recognize cancerous tissue. The United States Department of Defense is using microscopes that use machine learning models based on research from Google to detect cancers.

The United States’ regulatory regime may not be clear or flexible enough to ensure the safety of AI-powered medical devices. Physicians and other health professionals believe that U.S. regulators have approved AI-powered medical products without proper oversight or disclosure.

Large language models may help psychiatrists resolve unanswered questions about mental illness. Researchers from University College London, Beijing Normal University, and Lisbon’s Champalimaud Centre for the Unknown used a large language model to...

A neural network helped brain surgeons decide how much healthy tissue to cut out when removing tumors — while the patients were on the operating table.

A deep learning system detected breast cancer in mammograms as well as experienced radiologists, according to a landmark study.

Adults in the United States tend to view AI’s medical applications favorably but are leery of text and image generation. Pew Research Center polled 11,004 U.S. adults for their opinions of AI in science, healthcare, and media.

Principal component analysis is a key machine learning technique for reducing the number of dimensions in a dataset, but new research shows that its output can be inconsistent and unreliable.

It’s an exciting time for AI, with fascinating advances in generated media and many other applications, some even in science and medicine. Some folks may dream about what more AI can create and how much bigger models we may engineer.

A growing number of AI models can be put to purposes their designers didn’t envision. Does that include heinous deeds?

The United States paved the way to regulate AI systems in healthcare. The U.S. Food and Drug Administration (FDA) interpreted existing rules that govern health-related software to include some machine learning algorithms.

China’s investment in AI business, infrastructure, and research could pay off big over the next decade.

A recent workshop highlighted the impact of poorly designed AI models in medicine, security, software engineering, and other disciplines.

Pharmaceutical companies in several countries are hiring machine learning engineers at increasing rates.