Toward the Comprehensive Evaluation of Medical Text Generation by Large Language Models: Programmatic Metrics, Human Assessment, and Large Language Models Judgment
Year: 2025
Type: article
Abstract: This commentary discusses three evaluation approaches for assessing large language models' generation in healthcare: programmatic metrics, human assessment, and large language models judgment. No single approach can address all challenges; however, the combination of these three methods provides a pipeline toward the comprehensive evaluation of medical text generation.
Source: Medicine Advances
DOI: 10.1002/med4.70002
Author: Han Yuan
Institutions: National University of Singapore, Duke-NUS Medical School
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4408384533