Guideline-Concordant Answer Quality of Five Large Language Models on Indication Criteria for Total Hip Arthroplasty in Hip Osteoarthritis: A Single-Run Benchmark Against the 2021 German S3 Guideline (EKIT-Hip). [PDF]
Alalman O +9 more
europepmc +1 more source
El escrito consiste en un ensayo que, mediante la ficción especulativa, explora la problemática de la materialidad del cuerpo, la potencia del deseo y los órdenes afectivos en el marco de los vínculos entre Inteligencia Artificial y Seres Humanos.
Martin, Nadia Soledad
core
AI Powered Biobanks From Static Archives to Dynamic Discovery Engines
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin +5 more
wiley +1 more source
Relationship extraction for adverse drug events in clinical notes using large language models: a retrospective cross-sectional study. [PDF]
Plasek JM +9 more
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Accuracy and relevance of GPT-3.5 and GPT-4 in response to ophthalmological questions.
Accuracy (A) and relevance (B) ratings were provided by five expert ophthalmologists for ChatGPT (powered by GPT-3.5 and GPT-4) responses to 87 FRCOphth Part 2 mock examination questions.
Yu Jeat Chong (8354871) +17 more
core +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Same Name, Moving Target: Model Version Drift in Syntheses of Large Language Models for Mental Health. [PDF]
Zhang B.
europepmc +1 more source
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source

