AI in radiology: powerful tools, persistent blind spots
A new narrative review finds AI tools improving diagnostic sensitivity and workflow efficiency in radiology while warning of demographic bias, ...
A new narrative review finds AI tools improving diagnostic sensitivity and workflow efficiency in radiology while warning of demographic bias, ...
Researchers built a vision-language model framework that scores garment consistency in AI-generated fashion images across 20 attributes derived from DeLong's ...
A new review proposes a five-module artificial intelligence framework linking endoscopic diagnosis, genomic resistance prediction, vaccine design and digital adherence ...
Vision–language models read region names from multiple sequence alignment images accurately but fail badly at defining residue boundaries, where a ...
Researchers report a multimodal framework combining Bengali OCR, hybrid visual encoders, and vision-language reasoning that achieved 97% accuracy on a ...
A vision language model multiagent architecture let a TIAGo Pro robot complete five healthcare tasks in an unoccupied patient room, ...
A narrative review of studies published between January 2021 and September 2026 synthesizes multimodal deep learning approaches for breast cancer ...
Researchers report that tiny, temporally coordinated perturbations can gradually poison the latent memory of bird's-eye-view perception in autonomous vehicles, while ...
A new context-aware AI system generates colour palettes that beat strong baselines on predicted quality and accessibility while running in ...
A new framework called TRRN re-indexes and filters web-retrieved images against few-shot class anchors, lifting accuracy across six benchmark settings ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine