This paper is in the following e-collection/theme issue:

Generative Language Models Including ChatGPT (714) Artificial Intelligence (2144) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87) AI Language Models in Health Care (206) Ontologies, Classifications, and Coding (328)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73233, first published .
Enhancing the Accuracy of Human Phenotype Ontology Identification: Comparative Evaluation of Multimodal Large Language Models

Enhancing the Accuracy of Human Phenotype Ontology Identification: Comparative Evaluation of Multimodal Large Language Models

Enhancing the Accuracy of Human Phenotype Ontology Identification: Comparative Evaluation of Multimodal Large Language Models

Authors of this article:

Wei Zhong1 Author Orcid Image ;   Mingyue Sun2 Author Orcid Image ;   Shun Yao3 Author Orcid Image ;   YiFan Liu1 Author Orcid Image ;   Dingchuan Peng4 Author Orcid Image ;   Yan Liu1 Author Orcid Image ;   Kai Yang1 Author Orcid Image ;   HuiMin Gao1 Author Orcid Image ;   HuiHui Yan1 Author Orcid Image ;   WenJing Hao1 Author Orcid Image ;   YouSheng Yan1 Author Orcid Image ;   ChengHong Yin1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Wei Zhong   1 ;   Mingyue Sun   2 ;   Shun Yao   3 ;   YiFan Liu   1 ;   Dingchuan Peng   4 ;   Yan Liu   1 ;   Kai Yang   1 ;   HuiMin Gao   1 ;   HuiHui Yan   1 ;   WenJing Hao   1 ;   YouSheng Yan   1 * , MD ;   ChengHong Yin   1 * , MD

1 Department of Prenatal Diagnosis, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China

2 Department of Reproductive Medicine, Shijiazhuang People's Hospital, Hebei Province, Shijiazhuang, China

3 Department of Gynecology and Obstetrics, Yijishan Hospital of Wannan Medical College, Anhui province, Wuhu, China

4 School of Medicine, South China University of Technology, Guangdong Province, Guangzhou, China

*these authors contributed equally

Corresponding Author:

  • ChengHong Yin, MD
  • Department of Prenatal Diagnosis, Beijing Obstetrics and Gynecology Hospital
  • Capital Medical University, Beijing Maternal and Child Health Care Hospital
  • 251 Yaojiayuan Road, Chaoyang District
  • Beijing 100020
  • China
  • Phone: 86 15572779093
  • Email: yinchh@ccmu.edu.cn