In radiology, an early adopter of health AI, a debate is brewing: Should generative AI models interpret medical images on their own?
Most AI diagnostic tools are black boxes, but the approach allows doctors and patients to understand how the computer reached a diagnosis. Artificial intelligence can scan a chest X-ray and diagnose ...
Scientists 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 ...
Artificial intelligence may be able to reveal how fast your body is aging by analyzing a chest X-ray, according to a new study published in The Journals of Gerontology. Researchers found that a deep ...
Chest X-rays have become a common practice these days, whether it is for routine check-ups or for the medical examination of a new job. But are these screenings actually healthy or do they carry ...
Researchers in Japan created an AI that can detect fatty liver disease from ordinary chest X-rays—an unexpected and low-cost method that could transform early diagnosis. The model proved highly ...
Two French startups, Gleamer SAS and Azmed SAS, received clearance from the U.S. FDA for their AI-powered tools for chest X-rays. They join an increasing number of companies developing software tools ...
Namkug Kim is in the Department of Convergence Medicine and the Department of Radiology, University of Ulsan College of Medicine, Seoul 05506, South Korea. In general, AI models for reading chest ...
Two major Dutch hospitals, Catharina Ziekenhuis in Eindhoven and University Medical Center (UMC) Utrecht, are integrating ...
Radiographs of the heart and lungs also capture parts of the liver, allowing for deep learning models to detect fatty liver disease. Fatty liver disease, caused by the accumulation of fat in the liver ...
At similar radiation doses, ultra-low-dose CT (ULDCT) achieved superior image quality using AI-enhanced iterative reconstruction than chest x-rays for assessing cystic fibrosis-related lung disease in ...