ARTIFICIAL intelligence-assisted chest X-ray interpretation could help rural health units detect more tuberculosis cases while reducing screening costs, according to a study by Ateneo de Manila ...
A scholarly exchange in Pediatric Radiology over a deep learning model for detecting neonatal pneumothorax highlights the gap ...
Hello. I am Goro, a board-certified radiologist and the administrator of the 'Gazo Shindan Matome' (Diagnostic Imaging ...
Pacific expansion offer strong opportunities as healthcare shifts to digital, point-of-care imaging.Dublin, Oct. 09, 2026 (GLOBE NEWSWIRE) -- "X-ray Detectors Market by Technology, Application Global ...
An IIIT-H study finds AI heatmaps on chest X-rays may not match radiologists, raising questions about safe medical AI diagnosis.
Enabled X-Ray Imaging Systems Market - A Global and Regional Analysis: Focus on Portability, Regional, and Country, 2026-2036" has been added to ResearchAndMarkets.com's offering. The global ...
Enabled X-ray Solutions Market - A Global and Regional Analysis: Focus on Product, Workflow, Deployment Model, Therapeutic Application, and Regional Analysis, 2026-2036" has been added to ...
HYDERABAD: A team of researchers at the International Institute of Information Technology-Hyderabad (IIIT-H) has found that heatmaps generated by medical artifi ...
Learn how researchers at IIIT Hyderabad study the effectiveness of AI tools in enhancing radiology interpretations of chest X ...
Nature Medicine’s MedGemma study finds gains across medical tasks, but its chest X-ray result is not clinical proof and African validation remains limited.
Machine-learning models combining clinical data and chest CT report features can probabilistically classify lung cancer subtypes in patients presenting with synchronous brain metastases, potentially ...
A 93,326-scan NHS trial found AI worklist priority cut X-ray reporting time, but it did not speed CT scans, diagnosis, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results