Although Alzheimer's is the most common cause of dementia - a catchall term for cognitive deficits that impact daily living, like the loss of memory or language - it's not the only one. Because multiple causes of dementia can happen simultaneously, reaching a definitive diagnosis isn't easy or quick. And often by then, it’s too late to intervene.

Boston University's Vijaya B. Kolachalama, an expert on using computers to aid medical diagnoses, has created an artificial intelligence tool that can determine what’s causing a person's cognitive decline, and assist doctors in more efficiently zeroing in on an accurate diagnosis.

Researchers at the Centre for Genomic Regulation (CRG), the University of the Basque Country (UPV/EHU), Donostia International Physics Center (DIPC) and the Fundación Biofisica Bizkaia (FBB, located in Biofisika Institute) have developed an artificial intelligence which can differentiate cancer cells from normal cells, as well as detect the very early stages of viral infection inside cells.

A pioneering study titled "Causal effect of video gaming on mental well-being in Japan 2020-2022," published in Nature Human Behaviour, has conducted the most comprehensive investigation to date on the causal relationship between video gaming and mental well-being. This research, the first to demonstrate this relationship using real-life data, challenges commonly held views about the effects of gaming.

The groundbreaking ChatGPT chatbot shows potential as a time-saving tool for responding to patient questions sent to the urologist's office, suggests a study in the September issue of Urology Practice®, an Official Journal of the American Urological Association (AUA). The journal is published in the Lippincott portfolio by Wolters Kluwer.

The artificial intelligence (AI) tool generated "acceptable" responses to nearly one-half of a sample of real-life patient questions, according to the new research by Michael Scott, MD, a urologist at Stanford University School of Medicine.

Artificial intelligence (AI) is all around us - from smart home devices to entertainment and social media algorithms. But is AI okay in healthcare? A new national survey commissioned by The Ohio State University Wexner Medical Center finds most Americans believe it is, with a few reservations.

The national poll of 1,006 people found:

A commercial artificial intelligence (AI) tool used off-label was effective at excluding pathology and had equal or lower rates of critical misses on chest X-ray than radiologists, according to a study published today in Radiology, a journal of the Radiological Society of North America (RSNA).

Recent developments in AI have sparked a growing interest in computer-assisted diagnosis, partly motivated by the increasing workload faced by radiology departments, the global shortage of radiologists and the potential for burnout in the field.

It may someday be possible to use Large Language Models (LLM) to automatically read clinical notes in medical records and reliably and efficiently extract relevant information to support patient care or research. But recent research from Columbia University Mailman School of Public Health using ChatGPT-4 to read medical notes from Emergency Department admissions to determine whether injured scooter and bicycle riders were wearing a helmet finds that LLM can't yet do this reliably.