Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
News-Medical.Net on MSN
Automated system improves deep learning accuracy in chest radiography analysis
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
Researchers at Osaka Metropolitan University developed models that classify X-ray images into specific body regions and ...
A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...
2UrbanGirls on MSN
Jimmy Joseph honored with a 2025 global recognition award for an AI breakthrough that strengthened payment integrity for millions in the USA
Jimmy Joseph, senior solutions engineer at a Fortune 500 healthcare company, received a 2025 Global Recognition Award fo ...
Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...
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