AI Tumor Board Passes Reproducibility Test: Structured Output Tames Sarcoma LLM Chaos
A schema-enforced large language model framework achieved 94 percent reproducibility across simulated sarcoma tumor board decisions, a leap over earlier ...
A schema-enforced large language model framework achieved 94 percent reproducibility across simulated sarcoma tumor board decisions, a leap over earlier ...
A new proof-of-concept study shows that large language models can perform credible root cause analyses of radiation oncology incident reports, ...
A new PLOS Complex Systems paper lays out a unifying framework for autonomous agentic AI while cataloguing the hallucination, scalability, ...
A systematic review in Applied Intelligence introduces a two-axis taxonomy that maps how large language models enhance graph neural networks ...
Researchers in Japan built a quality-gate audit framework that reveals how reliably multimodal retrieval-augmented generation converts tsunami evacuation simulation logs ...
A new conflict-aware framework teaches vision-language models to align their own uncertainty with tool confidence, reject unreliable OCR output, and ...
A new study finds that ChatGPT-4.0 and Perplexity Pro can summarize landmark surgical studies with near-expert accuracy, and surgical residents ...
A new systematic survey of 106 studies maps how conversational AI evolved from rule-based scripts to retrieval-augmented generation, revealing the ...
A new Journal of Industrial Ecology study argues that large language models act as non-neutral epistemic intermediaries whose fluent answers ...
University of Bologna researchers propose an AI-in-the-human-loop framework in which AI agents continuously assess and scaffold human reasoning to foster ...
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© 2025 Scienmag - Science Magazine