Abstract AI‐based large language models (LLMs) have gradually made their way into various fields, transforming industries and changing the way we solve problems. LLMs have great potential in healthcare, where they can share the burden of data management, retrieval, and decision‐making.
Muhammad Umar +11 more
wiley +1 more source
Evaluating the efficacy of large language models in cardio-oncology patient education: a comparative analysis of accuracy, readability, and prompt engineering strategies. [PDF]
Wang Z +6 more
europepmc +1 more source
Longitudinal 4D Flow MRI‐Derived Wall Shear Stress in Patients With an Abdominal Aortic Aneurysm
ABSTRACT Background 4D flow MRI‐derived parameters such as wall shear stress (WSS) may improve abdominal aortic aneurysm (AAA) progression prediction. Validation of this biomarker is needed, but longitudinal data are lacking. Purpose Investigate longitudinal WSS changes and associations with AAA morphology. Study Type Prospective.
E. Aalbregt +9 more
wiley +1 more source
A Multiagent Summarization and Auto-Evaluation Framework for Medical Text: Development and Evaluation Study. [PDF]
Chen Y, Wen B, Zulkernine F.
europepmc +1 more source
Large language model bias auditing for periodontal diagnosis using an ambiguity-probe methodology: a pilot study. [PDF]
Nantakeeratipat T.
europepmc +1 more source
Evaluation of large language models in assigning PI-RADS v2.1 categories for prostate MRI reports. [PDF]
Akdal Dolek B, Besler MS.
europepmc +1 more source
SynEL: A synthetic benchmark for entity linking. [PDF]
Karpov I +9 more
europepmc +1 more source
Evaluating the Performance of AI Large Language Models in Detecting Pediatric Medication Errors Across Languages: A Comparative Study. [PDF]
Abu-Farha RK +5 more
europepmc +1 more source
Applications and Challenges of Digital Health in Rheumatology
iNew Medicine, EarlyView.
Xiao‐Xiao Li +4 more
wiley +1 more source

