Enhancing the Accuracy of Human Phenotype Ontology Identification: Comparative Evaluation of Multimodal Large Language Models
Abstract BackgroundIdentifying Human Phenotype Ontology (HPO) terms is crucial for diagnosing and managing rare diseases. However, clinicians, especially junior physicians, often face challenges due to the complexity of describing patient phenotypes accurately. Traditional man...
Saved in:
| Main Authors: | Wei Zhong, Mingyue Sun, Shun Yao, YiFan Liu, Dingchuan Peng, Yan Liu, Kai Yang, HuiMin Gao, HuiHui Yan, WenJing Hao, YouSheng Yan, ChengHong Yin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-06-01
|
| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2025/1/e73233 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance of ChatGPT-4o and Four Open-Source Large Language Models in Generating Diagnoses Based on China’s Rare Disease Catalog: Comparative Study
by: Wei Zhong, et al.
Published: (2025-06-01) -
Phenotypic study of humanized mice carrying the PAH deep intronic variant c.1199+502A>T
by: Chuan Zhang, et al.
Published: (2025-05-01) -
Population health management of human phenotype ontology
by: James Andrew Henry
Published: (2025-08-01) -
Phenotype ontologies and cross-species analysis for translational research.
by: Peter N Robinson, et al.
Published: (2014-04-01) -
WTO, an ontology for wheat traits and phenotypes in scientific publications
by: Claire Nédellec, et al.
Published: (2020-06-01)