Work

From general to specific: Tailoring large language models for real‐world medical communications

Year: 2024

Type: article

Source: Clinical and Translational Medicine

DOI: 10.1002/ctm2.70157

Authors: Xinti Sun, Wenjun Tang, Zigeng Huang, Erping Long, Peixing Wan

Institutions: Chinese Academy of Medical Sciences & Peking Union Medical College, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, National Institutes of Health, National Cancer Institute, Center for Cancer Research

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: gold

Estimated APC paid: $3,470

Funder: National Natural Science Foundation of China

Awards: G2010649302, G4975989546, G7278674668, G770340432

OpenAlex ID: W4405947281

FWCI: 0.163

Cites: 4

Cited by: 2

Related to: 10