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.

The negative health impacts from contamination by so called "forever chemicals" in drinking water costs the contiguous U.S. at least $8 billion a year in social costs, a University of Arizona-led study has found.

Measuring the lymphocytes (white blood cells that fight infection) in a patient’s blood can be used to predict outcomes in non-Hodgkin lymphoma patients who receive CAR T-cell therapy, according to research from physicians at Fox Chase Cancer Center and Temple Health. 

A study funded in part by the National Institutes of Health (NIH) has revealed important insights into the genetics of deposits in the eye, known as reticular pseudodrusen (RPD), that are linked to greater risk of vision loss among people with age-related macular degeneration (AMD). The study underscores that AMD is not one disease and highlights the need for novel treatment approaches.  

As nuclear medicine theranostics expands rapidly across clinical practice worldwide, a new supplement to the Journal of Nuclear Medicine Technology (JNMT) explores how nuclear medicine technologists are embracing their growing role within the field. Titled, Building the Future of Theranostics: Advancing Practice, Education, and Innovation Worldwide, the supplement brings together voices from across the globe, offering perspectives that span clinical lessons, educational frameworks, operational strategies, advocacy, equity, and biology.

A good night’s sleep is more than a luxury. New research from Oregon Health & Science University suggests that insufficient sleep may shorten your life.

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.