-
User-friendly tool streamlines transcriptomic data analysis for precision medicine applicationsThe Barcelona Institute for Global Health (ISGlobal) has launched HTGAnalyzer, a new, easy-to-use, fast and reproducible bioinformatics tool for advanced transcriptomic data analysis. Designed within the R statistical environment, this package simplifies complex analytical processes, making them accessible to professionals without specific expertise in bioinformatics.... Read more
-
AI scribes gain traction among New Zealand GPs despite ethical and legal concernsMany New Zealand GPs have taken up the use of AI scribes to transcribe patient notes during consultations despite ongoing challenges with their legal and ethical oversight, data security, patient consent, and the impact on the doctor-patient relationship, a study led by the University of Otago, Wellington—Ōtākou Whakaihu Waka, Pōneke... Read more
-
Mathematical models help correct errors in MRI brain blood flow imagingA team led by Eamon Doyle, Ph.D., in the Borzage Laboratory at Children's Hospital Los Angeles developed novel computational models for magnetic resonance imaging. These models enable more accurate imaging of cerebral blood flow in children and adults while compensating for missing imaging data.... Read more
-
Researchers create first AI tool for treating age-related macular degenerationJohn A. Moran Eye Center researcher Adam Dubis, Ph.D., is part of a big leap forward for the use of artificial intelligence in eye care.... Read more
-
Ensuring drug safety using AI models for adverse drug reaction predictionAdverse drug reactions (ADRs) are a significant cause of hospital admissions and treatment discontinuation worldwide. Conventional approaches often fail to detect rare or delayed effects of medicinal products. In order to improve early detection, a research team from the Medical University of Sofia developed a deep learning model to predict... Read more
-
Promising AI-driven surgical education model developed to improve quality of resident trainingMount Sinai researchers have demonstrated the effectiveness of teaching surgical trainees a difficult procedure using artificial intelligence (AI) algorithms and an extended-reality headset without the presence of an instructor. All of the 17 trainees in the study achieved surgical success.... Read more
-
Diffusion MRI denoising put to the test: Researchers assess image sharpness effects on glaucoma detectionFor decades, MRI (magnetic resonance imaging) has been a powerful way to see inside the human brain. A specialized form, diffusion-weighted MRI (dMRI), can measure tissue properties of fiber pathways in the brain by measuring the movement of water molecules. Since dMRI is applicable to living humans, it becomes a... Read more
-
Can you trust AI for stroke care? Not yet, say scientistsScientists have found that three language-model chatbots—even with advanced prompt-engineering tricks—often give suboptimal guidance across stroke prevention, diagnosis, treatment and recovery, highlighting the need for human oversight to ensure appropriateness and safety. Stroke remains a leading cause of death and disability worldwide, underscoring the urgency for accurate and actionable patient... Read more
-
AI chatbots can run with medical misinformation, highlighting need for stronger safeguardsA new study by researchers at the Icahn School of Medicine at Mount Sinai finds that widely used AI chatbots are highly vulnerable to repeating and elaborating on false medical information, revealing a critical need for stronger safeguards before these tools can be trusted in health care.... Read more
-
Boosting AI to read chest X-rays smarter and more accuratelyScientists from CSIRO, Australia's national science agency, have developed a world-first method to teach artificial intelligence (AI) how to write more accurate chest X-ray reports by giving it the same information doctors use in real life.... Read more
-
New risk calculator can better predict stroke to direct the best preventionResearchers at the University of Vermont have developed a more precise way to assess stroke risk in people with atrial fibrillation (A-Fib), a condition that affects 10.5 million Americans and is a leading cause of stroke.... Read more
-
Finding answers faster: AI method brings hope to rare disease researchAn AI-powered tool from Carnegie Mellon University and collaborators is helping uncover genetic clues to rare diseases, potentially accelerating diagnoses and treatments for conditions that affect only a fraction of the population.... Read more
-
Deep learning model predicts microsatellite instability in tumors and flags uncertain casesOne in every three people is expected to have cancer in their lifetime, making it a major health concern for mankind. A crucial indicator of the outcome of cancer is its tumor microsatellite status—whether it is stable or unstable. It refers to how stable the DNA is in tumors with... Read more
-
FDA requires stronger safety labels for opioid medicationsThe U.S. Food and Drug Administration announced it will now be requiring updated safety labels for all opioid pain medications to better highlight the risks of long-term use, including misuse, addiction, and overdose.... Read more
-
Mailing at-home test kits boosts colorectal cancer screening in adults under 50In a new study aimed at identifying the best approach to promote colorectal cancer screening in adults aged 45 to 49, UCLA researchers found that simply mailing a stool-based test directly to people's homes was the most effective strategy for increasing screening rates.... Read more