Smart Healthcare’s Next Test: Can Vision-Language Models Reason Safely?
A 2026 editorial argues that medically useful vision-language systems must join reliable multimodal perception to explainable, uncertainty-aware and safety-tested reasoning.
A 2026 editorial argues that medically useful vision-language systems must join reliable multimodal perception to explainable, uncertainty-aware and safety-tested reasoning.
A retrospective study found that three multimodal AI models reached unanimity on 65.6% of undergraduate mathematics and computing rubric decisions, ...
A dual-modality artificial-intelligence model that analyzed both fundus photographs and optical coherence tomography (OCT) scans reported high performance when classifying ...
A bidirectional AI model combining speech acoustics with transcript meaning reached 90.42% accuracy on the ADReSS Alzheimer’s disease benchmark in ...
A new interpretable AI model called PRISM combines pathology slides with transcriptomic pathway data to sharpen progression-risk prediction in early-stage ...
A first-of-its-kind study asked ten multimodal AI models to rate their own mental workload on real dental examinations using a ...
A new affective-cognitive gated cross-modal transformer integrates learners' speech, gestures, and emotional signals to recognize learning states and deliver adaptive ...
Transplantation researchers argue that AI in transplant medicine consists of many narrow, single-purpose tools rather than one monolithic system, and ...
A pilot study of seven autistic Brazilian children found that drawings made a day after a hands-on laboratory visit still ...
A new AI framework combines multimodal sensing, rule-constrained hidden Markov modeling, and Q-learning to generate piano fingerings that are accurate, ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine