Narrative Review Maps Hybrid AI Limits in Mammography
A narrative review in Discover Artificial Intelligence maps the evidence gaps for hybrid CNN-ViT architectures in mammography, highlighting the disparity ...
A narrative review in Discover Artificial Intelligence maps the evidence gaps for hybrid CNN-ViT architectures in mammography, highlighting the disparity ...
A qualitative study of hospital advisory councils establishes a tiered framework scaling healthcare artificial intelligence transparency based on risk and ...
Health systems face hidden infrastructure, oversight, and validation expenses when adopting clinical artificial intelligence across complex commercial pricing models.
A hybrid vision transformer-CNN model detected epileptic seizures in pediatric EEG recordings with 99.8 percent average sensitivity while quantitatively explaining ...
Researchers propose treating Big Five personality dimensions as tunable behavioral parameters in multi-agent AI systems, a testable framework rather than ...
A new Perspective proposes organizing responsible clinical AI governance into three functional domains, Capability, Explainability, and Communication, to translate broad ...
A frequency-aware sparse vision transformer outperformed comparison models on organ, cardiac, breast, skin and polyp segmentation across five public medical ...
A cross-sectional survey of 359 medical students found that patient-safety perceptions were positively associated with critical trust in AI and ...
External validation of the Computational Barthel Index Tool in over 843,000 SEER-Medicare nursing home patients showed substantial performance loss that ...
Three deep learning architectures trained on dermoscopic images reached the same band of accuracy yet differed by more than fourfold ...
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© 2026 Scienmag - Science Magazine