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The Advent of Artificial Intelligence in Diabetic Foot Medicine: A New Horizon, a New Order, or a False Dawn? Theodore Howard et al Int J Low Extrem Wounds. 2021 Sep 7 I...
Radiologists’ ratings differ from computer-based assessment (
The triage note read, “The patient wants her thyroid checked.” On the stretcher, fully dressed, sat a 65-year-old woman with her family members at the bedside. She said she had bee...
Model uses 'orchestrator' that employs simulated panel of clinical experts collaborating to solve diagnostic cases
Artificial intelligence (AI) shows promise for helping doctors diagnose hemophilia, detect joint complications, and predict disease severity and other clinical outcomes, a review o...
Some of the thorniest problems in medicine that AI can improve have nothing to do with diagnosis. They have to do with triage. The post Diagnosis Is Beside the Point appeared firs...
Artificial intelligence (AI) has rapidly reshaped cardiovascular imaging, particularly echocardiography, where machine learning algorithms now assist in image acquisition, chamber...
Earlier detection is valuable, but it creates a duty that does not end when an alert appears in the electronic health record. Health systems need to decide, in advance, how a risk...
A team of U.S. scientists has compiled a large data set of remotely collected data from people with and without Parkinson’s disease, which the scientists hope will serve as an impo...
Standard diagnosis for type 2 diabetes currently relies on a blood test
The following is a guest article by Mansi Goel For most of the last decade, AI in healthcare was mostly a back-office automation story – faster scan analysis, automated documentati...
Monitoring, Reliability and AI Operations Anonymous (not verified) Wed, 10/14/2026 - 17:44 AIS402 402 AIS AIS402 Monitoring, Reliability and AI...
A new study suggests that CT scans can provide information about a wide range of conditions, including some not typically diagnosed through imaging. Direct comparison with human ra...
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NASHVILLE, Tenn. — Two machine learning models demonstrated high accuracy in identifying adenomas and sessile serrated lesions, although more research is needed to determine their...
Tairex, incubated by Tsinghua AIR, launched MHAC, a framework that lets a clinic doctor call in AI avatars of other specialists for advice, while human doctors keep the final decis...
The IT-X framework is designed to compare blood-based immune data across repeated measurements
Public Health PS Mary Muthoni recently highlighted Kenya's use of AI-supported chest X-rays as part of the country's efforts to strengthen early TB detection and expand access to d...
A real-world primary care study tests Google's AMIE diagnostic AI with patients at home, finding promising accuracy but clear safety and workflow limits.
Imagine two developers join the same project.Continue reading on Medium В»
The speech of people with schizophrenia sounds subtly different from their healthy counterparts. Can AI hear those differences better than human psychiatrists?
A deep learning model trained exclusively on adult duodenal biopsy images has achieved pathologist-level accuracy in diagnosing coeliac disease in children across independent hospi...
Four out of five doctors use AI at work now. That’s 81% of physicians, according to the American Medical Association’s 2026 survey — double what they saw in 2023. But saying you “u...
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