New AI Framework Weighs Evidence to Reveal When Medical Vision Models Truly Know
Researchers have developed UbiQVision, a framework that fuses explainable AI attributions from deep learning ensembles using Dempster–Shafer evidence theory to ...
Researchers have developed UbiQVision, a framework that fuses explainable AI attributions from deep learning ensembles using Dempster–Shafer evidence theory to ...
Researchers have developed an explainable AI framework that combines reflective listening, large language models, and knowledge graph reasoning to support ...
An interpretable machine learning model trained on 20 years of rural Spanish registry data outperforms logistic regression in predicting 30-day ...
A standardized osteoporosis alert sentence embedded in radiology fracture reports tripled the rate of guideline-concordant bone health care initiation within ...
A systematic review in Knowledge and Information Systems shows that ontology-driven semantic data management can align fragmented healthcare standards, enable ...
Researchers have developed a deep learning framework that generates clinically faithful diagnostic reports from low-resolution SPECT bone scans by combining ...
A new study in npj Viruses evaluates how reliably large language models answer clinical questions about bacteriophage therapy, finding strong ...
A UK-wide discrete choice experiment reveals that the public supports AI-assisted skin cancer detection in general practice when clinicians remain ...
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© 2025 Scienmag - Science Magazine