Mayo Clinic researchers tested an approach that uses artificial intelligence (AI) to help people without previous ultrasound experience capture heart images and identify patients who may have a common and serious heart valve condition.
Beginning October 1, 2026, hospitals using Bayesian’s continuous sepsis monitor can receive additional Medicare reimbursement for eligible inpatient cases, the first reimbursement pathway of its kind for presuspicion sepsis monitoring.
The autonomous triage system’s European market authorisation comes as AI becomes increasingly embedded into the cancer screening paradigm.
Now, scientists at Scripps Research have built a new AI model to improve detection and prediction of various heart diseases, which may be particularly useful in settings with limited labeled data or fewer available ECG leads
Irish medtech company reaches major regulatory milestone for AI-powered technology providing rapid, objective insights into newborn brain activity
The University of Tokyo and Institute of Science Tokyo’s AI detected diabetes with accuracy >80% from 30-second and five-seconds recordings.
Memory clinics still rely on visual rating scales to assess brain atrophy, yet these tools lack the sensitivity to catch subtle changes associated with early dementia. A measure of how old a person’s brain appears on brain scans compared with their actual age might be a potential predictor of who is more likely to develop dementia over the years, reports a new study published in Neurology.
An Australian research collaboration has identified several existing TGA-approved medicines that could help slow brain damage in children with a rare form of dementia—offering hope for faster treatment options.
Researchers at the University of Southampton have developed a powerful AI tool that reveals previously invisible patterns inside breast cancers. It uncovers how tiny cellular structures called centrosomes change as tumors grow, spread and evolve. The technology could help clinicians identify high-risk patients, predict how breast cancer might progress and deliver more targeted treatments.
Wearable sensors coupled with AI can generate blood pressure readings nearly as accurately as the invasive and risky arterial lines relied on in intensive care units and operating rooms, new work by Johns Hopkins University researchers demonstrates.