Technology

Artificial intelligence systems often perform impressively on standardized medical exams—but new research suggests these test scores may be misleading. A study published in JAMA Network Open indicates that large language models, or LLMs, might not actually “reason” through clinical questions.

AI model uses common data to gauge risk from rare genetic variants.

OpenAI and Retro Biosciences achieve 50x increase in expressing stem cell reprogramming markers.

Researchers at the National Institutes of Health (NIH) have developed an artificial intelligence (AI) agent powered by a large language model (LLM) that creates more accurate and informative descriptions of biological processes and their functions in gene set analysis than current systems.

The Trump administration released a new artificial intelligence blueprint on Wednesday that aims to loosen environmental rules and vastly expand AI exports to allies, in a bid to maintain the American edge over China in the critical technology.

More than 70% of teens have used AI companions and half use them regularly, according to a new study from Common Sense Media, a group that studies and advocates for using screens and digital media sensibly.

AI systems have the potential to improve human health globally—to make reliable health information universally available, help clinicians deliver better care, and empower people to better understand and advocate for their health.

MIT researchers have developed a new bionic knee that can help people with above-the-knee amputations walk faster, climb stairs, and avoid obstacles more easily than they could with a traditional prosthesis.

An advanced Johns Hopkins AI model called MAARS combs through underused heart MRI scans and complete medical records to spot hidden scar patterns that signal sudden cardiac death, dramatically outperforming current dice-roll clinical guidelines and promising to save lives while sparing patients unnecessary defibrillators.

Researchers from Mass General Brigham and the United States Department of Veterans Affairs (VA) have developed a deep learning algorithm that detects coronary artery calcium levels in chest CT scans – an important marker that predicts cardiac event risk