Results 141 to 150 of about 5,684 (257)

Error Detection and Correction in Chinese Radiology Reports Using Large Language Models: Real-World Clinical Validation Study. [PDF]

J Med Internet Res
Zhou J, Wei Y, Cai Q, Chen Y, Edzeafene-Mensah E, Yang Y, Pan Z.   +6 more
europepmc   +1 more source

Performance of large language models in mitral valve surgery patient education: a comparative analysis. [PDF]

BMC Med Inform Decis Mak
Akdag BB, Bademci MS, Peker I, Karaca GO, Kandemir C, Özcem B, Durmaz H, Cakır M, Ozcetin I, Selcuk HO.   +9 more
europepmc   +1 more source

Evaluation of Large Language Models in the Clinical Management of Patients With Upper Gastrointestinal Bleeding: Insights From Real‐World Patient Data

DEN Open, Volume 7, Issue 1, April 2027.
Large language models are evaluated for pre‐endoscopy risk stratification and prediction of endoscopic findings in patients with upper gastrointestinal bleeding. Their performance is compared with validated clinical risk scores, conventional machine learning models, and hybrid approaches.
Mohsen Rajabnia, Farbod Davoodi, Mahsa Hajisafarali, Shadi Asadinia, Mahsa Shiri, Fatemeh Shirzad, Peyman Saeedi, Mahsa Mohammadi   +7 more
wiley   +1 more source

Transforming Systematic Reviews: Evaluating a Fine-Tuned Large Language Model for Abstract Screening in Uveitis and Retinal Vasculitis: Fine-Tuned LLM for Review Screening. [PDF]

Ophthalmol Sci
Cifuentes-González C, Singer MB, Rojas-Carabali W, Mejía-Salgado G, Cicinelli MV, Biswas J, Gangaputra S, de-la-Torre A, Gupta V, Pulido JS, Agrawal R.   +10 more
europepmc   +1 more source

PRECISE: Reducing the bias of LLM evaluations using prediction‐powered ranking estimation

AI Magazine, Volume 47, Issue 4, Winter 2026.
Abstract Evaluating the quality of search systems traditionally requires a significant number of human relevance annotations. In recent times, several systems have explored the usage of Large Language Models (LLMs) as automated judges for this task while their inherent biases prevent direct use for metric estimation.
Abhishek Divekar, Anirban Majumder
wiley   +1 more source

Diagnostic Performance and Workup Efficiency of Large Language Models in Secondary Hypertension: A Blinded Comparative Study. [PDF]

Diagnostics (Basel)
Canpolat AG, Aksu ÖB, Emral R, Canpolat U.   +3 more
europepmc   +1 more source

Evaluating Large‐Language Models in Bioinformatics Applications

Advanced Computing, Volume 1, Issue 1, December 2026.
This work systematically evaluates advanced large language models across six representative bioinformatics tasks, from drug–drug interaction prediction and molecular optimization to single‐cell annotation and computational biology problem solving. The benchmark quantifies both their promise and limitations, offering practical guidance for prompt design,
Hengchuang Yin, Ziwen Cui, Dongxu Li, Yue Yang, Ying Chang, Xiaobo Zhu, Jun Zhang, Pengwei Hu, Xi Zhou, Lun Hu   +9 more
wiley   +1 more source

Comparative Evaluation of a New Autonomous AI Agent Versus Frontier LLMs for AI-Generated Patient Information Sheets on Pediatric Pathologies. [PDF]

Cancers (Basel)
Khoury ZH, Rokhshad R, Sultan MS, Price JB, Tavares T, Sadat Kazemi K, Najafimakhsoos N, Sultan AS.   +7 more
europepmc   +1 more source

Deep Material Networks Versus Reduced Order Models: A Comparative Study for Multiscale Component Simulations

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Deep material networks (DMNs) and reduced order models (ROMs) represent two distinct paradigms for scale bridging in multiscale simulations. ROMs are data‐driven approaches that construct surrogate models for the governing partial differential equations of the microscale cell problem.
Pavan Bhat Keelanje Srinivas, Maxime Krier, Fabian Welschinger, Matthias Kabel, Matti Schneider   +4 more
wiley   +1 more source

Large Language Models as Examinees and Graders in Simulated General Surgery Oral Board-Style Cases: A Psychometric Pilot Study. [PDF]

Cureus
Huang KA, Choudhary HK, Xu AL, Alhassani W, Samvelian D, Weigel RJ, Baker MS, Luchette FA, Kuo PC.   +8 more
europepmc   +1 more source