Scientists Draw a Roadmap for Trustworthy AI-Driven Earth System Models
An international team proposes the RHEM framework to make AI-infused hybrid Earth system models transparent, trustworthy and reproducible.
An international team proposes the RHEM framework to make AI-infused hybrid Earth system models transparent, trustworthy and reproducible.
A letter in the Journal of General Internal Medicine warns that entropy-based measures of diagnostic uncertainty risk an illusion of ...
Researchers at Cincinnati Children's Hospital developed a two-stage deep learning pipeline that detects endotracheal tubes on pediatric chest X-rays with ...
A new commentary in Pediatric Research argues that artificial intelligence could enable earlier, more reliable, and multidimensional detection of pulmonary ...
A new study argues that regulatory sandboxes designed for private-sector market entry must be substantially adapted to legitimately govern public ...
New research shows that artificial intelligence-derived 3D imaging features, particularly tumor-renal sinus contact area, can predict treatment failure after cryoablation ...
A new commentary argues that AI will become education's dominant force, replacing its traditional knowledge-imparting function and forcing teachers into ...
Researchers argue that a cyclical value-chain framework can diagnose where artificial intelligence creates and destroys public value across data collection, ...
Light has long been manipulated with lenses, mirrors and waveguides, but at the nanoscale it can behave in ways that ...
Entrustable Professional Activities have increased the amount of surgical training feedback, but experts say its educational value depends on specificity, ...
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© 2025 Scienmag - Science Magazine