AI Chatbots Show an Accuracy-Practicality Trade-off in Anesthesia Crisis Scenarios
A benchmark study of OpenAI-o1 and DeepSeek-R1 across 30 anesthesia crisis scenarios found that the most accurate model gave the ...
A benchmark study of OpenAI-o1 and DeepSeek-R1 across 30 anesthesia crisis scenarios found that the most accurate model gave the ...
Researchers show that lexical and embedding-based drift measures between synthetic and real clinical text moderately predict how much de-identification models ...
A hybrid framework combining language-model-elicited weights and multi-criteria methods ranks G20 countries on the trade-off between energy security and sustainability.
A systematic review of 75 studies from 2021 to 2025 maps trends in specialized medical language models for diagnosis and ...
A multi-phase Nature Cancer study found that an agentic AI system detected immune-related adverse events in clinical notes with retrospective ...
A new open-access paper argues that quantification is a socially constructed mode of governance whose political dimensions must be openly ...
A new open-access framework called BASM maps five maturity tiers for AI-augmented clinical biochemistry, linking analytics, algorithmic governance, and health-service ...
An analysis of over 11,000 Replika conversations found that semantic alignment with an AI companion tracked interaction intensity while syntactic ...
A new framework called SMS-RAG schedules semantic, structural, and episodic memory during reasoning, outperforming existing retrieval-augmented methods on multi-hop QA ...
A new framework combining carbon-intensity forecasting with latency-aware scheduling cut simulated AI workload emissions by 41.6% while keeping critical tasks ...
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© 2025 Scienmag - Science Magazine