Results 101 to 110 of about 459,480 (145)

Enabling Drug-Induced Liver Injury Surveillance Through Automated Medication Extraction From Clinical Notes: A Medical Information Mart for Intensive Care IV Real-World Large Language Models Validation Study. [PDF]

Gastroenterology Res
Suenghataiphorn T, Boonpiraks K, Prasitsumrit V, Kulthamrongsri N, Danpanichkul P.   +4 more
europepmc   +1 more source

Reference and Solution Architecture for GenAI- and GIS-Enhanced Physical Activity Interventions: Towards Implementing the AI4Motion Platform. [PDF]

J Med Syst
Doležel M, Lískovec R.
europepmc   +1 more source

Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM): 2025 Updates. [PDF]

Korean J Radiol
Park SH, Suh CH, Lee JH, Tejani AS, You SC, Kahn CE, Moy L.   +6 more
europepmc   +1 more source

A human-centered automated machine learning agent with large language models for multimodal data management and analysis. [PDF]

Front Artif Intell
Huang R, Tao S.
europepmc   +1 more source

Anesthesia Practice Shift Scheduling With a Generative Deep Learning Model. [PDF]

Cureus
Emeneker W, Heape S, Hartman G, Gillespie M, Perkins S.   +4 more
europepmc   +1 more source

Enabling Just-in-Time Clinical Oncology Analysis With Large Language Models: Feasibility and Validation Study Using Unstructured Synthetic Data.

JMIR Med Inform
May P, Greß J, Seidel C, Sommer S, Schuler MK, Nokodian S, Schröder F, Jung J.   +7 more
europepmc   +1 more source

Report from MDE practice: An interview-based evaluation of model-driven engineering uses. [PDF]

PLoS One
Alfraihi H, Lano K.
europepmc   +1 more source

Awareness and Attitudes Toward Artificial Intelligence Language Generation Models in Medical Education: A Cross-Sectional Questionnaire Study Among Medical Students in Southern China. [PDF]

Cureus
Zhang M, Liu T, Peng X, Chen Y, Zhi M.
europepmc   +1 more source

Large Language Models for the National Radiological Technologist Licensure Examination in Japan: Cross-Sectional Comparative Benchmarking and Evaluation of Model-Generated Items Study.

JMIR Med Educ
Ito T, Ishibashi T, Hayashi T, Kojima S, Sogabe K.   +4 more
europepmc   +1 more source

ChatGPT: how to use it and the pitfalls/cautions in academia. [PDF]

Ann Pediatr Endocrinol Metab
Lee JM.
europepmc   +1 more source