New research on public attitudes toward AI indicates that most people are reluctant to let ChatGPT and other AI tools diagnose their health condition, but see promise in technologies that use AI to help diagnose cancer. These and other results of two nationally representative surveys will be presented at the annual meeting of the Society for Risk Analysis Dec. 7-10 in Washington, DC.

A new machine-learning method from CMU's He lab analyzes all major epileptic brain signals in one framework. The technique presents both a technical breakthrough and promising new direction for noninvasive presurgical planning.

 While targeted radiation can be an effective treatment for brain tumours, subsequent potential necrosis of the treated areas can be hard to distinguish from the tumours on a standard MRI. A new study led by a York University professor in the Lassonde School of Engineering found that a novel AI-based method is better able to distinguish between the two types of lesions on advanced MRI than the human eye alone, a discovery that could help clinicians more accurately identify and treat the issues.

Millions of people already chat about their mental health with large language models (LLMs), the conversational form of artificial intelligence. Some providers have integrated LLM-based mental healthcare tools into routine workflows. John Torous, MD, MBI and colleagues, of the Division of Digital Psychiatry at Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, urge clinicians to take immediate action to ensure these tools are safe and helpful, not wait for ideal evaluation methodology to be developed. In the November issue of the Journal of Psychiatric Practice®, part of the Lippincott portfolio from Wolters Kluwer, they present a real-world approach and explain the rationale.

A new study reveals that the human brain processes spoken language in a sequence that closely mirrors the layered architecture of advanced AI language models. Using electrocorticography data from participants listening to a narrative, the research shows that deeper AI layers align with later brain responses in key language regions such as Broca’s area. The findings challenge traditional rule-based theories of language comprehension and introduce a publicly available neural dataset that sets a new benchmark for studying how the brain constructs meaning.