Health Informatics

Urgent care visits are often associated with inappropriate prescriptions of antibiotics, glucocorticoids, and opioids, according to a research letter published online in the Annals of Internal Medicine.... Read more

A study by investigators at the Icahn School of Medicine at Mount Sinai, in collaboration with colleagues from Rabin Medical Center in Israel and other collaborators, suggests that even the most advanced artificial intelligence (AI) models can make surprisingly simple mistakes when faced with complex medical ethics scenarios.... Read more

Matthew Leming, Ph.D., and Hyungsoon Im, Ph.D. of the Center for Systems Biology at Massachusetts General Hospital, are the co-corresponding authors of a paper published in Alzheimer's & Dementia, "Differential dementia detection from multimodal brain images in a real-world dataset."... Read more

Research in the International Journal of Data Mining and Bioinformatics discusses a new approach to demand forecasting for the pharmaceutical retail sector based on an artificial intelligence model. The findings hold promise for improving accuracy in one of the industry's most persistent logistical challenges: managing sales that swing sharply during... Read more

Artificial intelligence (AI) in health care is rapidly advancing beyond traditional applications. Autonomous AI agents are gaining significant attention for their potential to fundamentally transform medicine. However, researchers at the Else Kröner Fresenius Center (EKFZ) for Digital Health at TUD Dresden University of Technology highlight a growing mismatch between the... Read more

Carnegie Mellon University researchers have developed a statistical tool that could help pinpoint the genetic changes that cause diseases like Alzheimer's and schizophrenia. While scientists have long identified genes associated with these conditions, confirming which changes actually cause disease has remained a challenge. The tool, causarray, offers hope.... Read more

A new online tool developed by researchers at the University of Louisville promises to speed up the discovery of treatments for brain and nerve tumors, especially rare ones that have had limited research attention.... Read more

People view physicians more negatively who disclose the use of artificial intelligence in their practice. This is the conclusion of a new study by psychologists from Würzburg published in JAMA Network Open.... Read more

Researchers at the University of Pittsburgh and Carnegie Mellon University collaborated to create a customized app based on artificial intelligence that may help people with multiple sclerosis track their symptoms—and even predict them.... Read more

Tracking race-specific rates of cancer incidence and mortality is important for identifying racial differences in these outcomes and for monitoring efforts aimed at achieving the highest level of health for all.... Read more

Since the start of the SARS-CoV-2 pandemic, several variants of the virus have developed into Variants of Concern (VOCs), as classified by the World Health Organization (WHO). VOCs are virus variants that are predicted or known to cause large waves of infections due to their altered phenotypic characteristics and with... Read more

Neurofibromatosis type 1 (NF1) is a rare genetic condition that affects approximately 100,000 Americans. Children diagnosed with the disorder often have motor delays and learning disabilities. Many are also diagnosed with autism or brain tumors.... Read more

A new project by a team of researchers across the nation analyzes the ways in which digitized health data, artificial intelligence models and other recent technological advancements have changed how cancers are diagnosed, studied and treated.... Read more

A new study by a Tulane University researcher casts doubt on a widely used shortcut in rectal cancer drug trials, raising concerns that some treatments may be fast-tracked for approval without evidence they help patients live longer.... Read more

Researchers at The Hong Kong University of Science and Technology (HKUST) have developed a groundbreaking AI technology that reconstructs precise 3D bones and organs models from minimal X-ray images, slashing patients' radiation exposure by up to 99% compared to CT scans.... Read more