Results 81 to 90 of about 43,074 (218)

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Evaluation of reliability, repeatability, and confidence of ChatGPT for screening, monitoring, and treatment of interstitial lung disease in patients with systemic autoimmune rheumatic diseases

Digital Health
Background In recent years, potential applications of ChatGPT in medication-related practices have drawn great attention for its intuitive user interfaces, chatbot, and powerful analytical capabilities.
Minjie Lin, Chuanjun Xu, Xiang Qu, Biyun Xu, Yanghong Wang, Ruyi Zou, Yingwei Zhang   +6 more
doaj   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Trauma triage performance of large language models on raw Turkish emergency notes: Artificial intelligence versus human expertise

Hong Kong Journal of Emergency Medicine
Objectives Large language models, such as GPT‐4o, have demonstrated potential in clinical decision‐making; however, their reliability in high‐stakes environments, including emergency department triage, remains uncertain.
İbrahim Sarbay, Melike Mercan Başpinar, Keith Grimes, Asım Bedri Erdem, Yunus Emre Gemici, Taha Yilmaz, Alper Görkem Çimen, Fatih Aslan, Mustafa Çalik   +8 more
doaj   +1 more source

Assessing the proficiency of large language models in automatic feedback generation: An evaluation study

Computers and Education: Artificial Intelligence
Assessment feedback is important to student learning. Learning analytics (LA) powered by artificial intelligence exhibits profound potential in helping instructors with the laborious provision of feedback.
Wei Dai, Yi-Shan Tsai, Jionghao Lin, Ahmad Aldino, Hua Jin, Tongguang Li, Dragan Gašević, Guanliang Chen   +7 more
doaj   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
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, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
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, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
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, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Assessing GPT-4o and GPT-4 in answering and explaining ophthalmology examination questions from Taiwan’s medical licensing test

Taiwan Journal of Ophthalmology
PURPOSE: This study aims to evaluate and compare the performance of generative pretrained transformer (GPT)-4o and GPT-4 in answering Taiwan’s National Medical Licensing Examination (NMLE) ophthalmology questions from 2014 to 2023, focusing on both ...
Chen-Wei Lin, Chau-Yin Chen, Pei-Lun Wu, Ching-Lung Chen, Chien-Hsiung Lai   +4 more
doaj   +1 more source

Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context

Agribusiness, EarlyView.
Alexis H. Villacis
wiley   +1 more source