Every year, an algorithm assigns thousands of medical students to residencies they can’t leave, can’t negotiate with, and can’t refuse. The Match system creates a captive workforce that stiffs ...

Attorney and retired physician assistant Tracy Liberatore has announced the launch of the National Expert Academy (NEA), an educational platform designed to help clinicians develop the knowledge and ...

Queen Mary University of London's Digital Education Studio has been awarded the 2026 Roger Mills Prize – one of the most ...

Vibe coding refers to the use of artificial intelligence prompted by natural language to write computer code. In high school, ...

This workshop is designed to give nephrology teams the confidence they need to navigate complex regulatory requirements ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

As artificial intelligence in revenue cycle management quickly gains ground, a new startup, Procode AI, launched out of stealth with a unique approach to AI-powered RCM for complex procedural and s | ...

Noorda College of Osteopathic Medicine has partnered with Matic to integrate AI-driven clinical intelligence into medical training. Students will gain hands-on experience with Scribematic, Matic's ...

Abstract: Semi-supervised learning based on consistency learning offers significant promise for enhancing medical image segmentation. Current approaches use copy-paste as an effective data ...

Irene Okpanachi is a Features writer, covering mobile and PC guides that help you understand your devices. She has five years' experience in the Tech, E-commerce, and Food niches. Particularly, the ...

Breaking into tech—or leveling up within it—often starts with one big question: where do you begin? The Premium Learn to Code Certification Bundle is designed to answer that question by giving you ...

Abstract: The current variants of the Segment Anything Model (SAM), which include the original SAM and Medical SAM, still lack the capability to produce sufficiently accurate segmentation for medical ...