Work

Role of Model Size and Prompting Strategies in Extracting Labels from Free-Text Radiology Reports with Open-Source Large Language Models

Year: 2025

Type: article

Source: Journal of Imaging Informatics in Medicine

DOI: 10.1007/s10278-025-01505-7

Authors: Bardia Khosravi, Theo Dapamede, Frank Li, Zvipo Chisango, Anirudh Bikmal, Sara Garg, Babajide Owosela, Amirali Khosravi, Mohammadreza Chavoshi, Hari M. Trivedi, Cody C. Wyles, Saptarshi Purkayastha, Bradley J. Erickson, Judy W. Gichoya

Institutions: Mayo Clinic, Emory University, Indiana University Indianapolis

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Gordon and Betty Moore Foundation, Radiological Society of North America, National Institute of Biomedical Imaging and Bioengineering, National Institute on Minority Health and Health Disparities, NHLBI Division of Intramural Research, Summer Health Professions Education Program

Awards: G3018715022, G325717833, G7679252587, G8842961228, Investigating the Effect of Synthetic Medical Images on Fairness in Medical Deep Learning Research

OpenAlex ID: W4410088371

FWCI: 1.204

Cites: 29

Cited by: 5

Related to: 10