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Optimizing in-context learning for large language models to diagnose mandibular deformities

Jungwook Lee Xuanang Xu Daeseung Kim Hannah H.Deng Tianshu Kuang Nathan Lampen Xi Fang Jaime Gateno Pingkun Yan

Informatics and Health2026，Vol.3Issue(1)：P.92-100,9.

Informatics and Health2026，Vol.3Issue(1)：P.92-100,9.DOI:10.1016/j.infoh.2025.09.002

Optimizing in-context learning for large language models to diagnose mandibular deformities

Jungwook Lee ¹Xuanang Xu ¹Daeseung Kim ²Hannah H.Deng ²Tianshu Kuang ²Nathan Lampen ¹Xi Fang ¹Jaime Gateno ³Pingkun Yan¹

作者信息

1. Department of Biomedical Engineering and Center for Biotechnology and Interdisciplinary Studies,Rensselaer Polytechnic Institute,Troy,NY 12180,USA
2. Department of Oral and Maxillofacial Surgery,Houston Methodist Research Institute,Houston,TX 77030,USA
3. Department of Oral and Maxillofacial Surgery,Houston Methodist Research Institute,Houston,TX 77030,USA Department of Surgery(Oral and Maxillofacial Surgery),Weill Medical College,Cornell University,New York,NY 10021,USA
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摘要

关键词

Jaw deformity diagnosis/Cephalometric analysis/Large language models(LLMs)/Prompt engineering/In context learning

分类

医药卫生

引用本文复制引用

Jungwook Lee,Xuanang Xu,Daeseung Kim,Hannah H.Deng,Tianshu Kuang,Nathan Lampen,Xi Fang,Jaime Gateno,Pingkun Yan..Optimizing in-context learning for large language models to diagnose mandibular deformities[J].Informatics and Health,2026,3(1):P.92-100,9.

基金项目

the Institutional Review Board of Houston Methodist Hospital(IRB#Pro00013802). （IRB#Pro00013802）

Informatics and Health

ISSN：2949-9534

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