default author photo

Hyunjae Kim

Yale University

SCHOLARLY PAPERS

3

DOWNLOADS

458

TOTAL CITATIONS

0

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

From AI Agents to AI Scientists in Health: Emerging Landscape, Challenges, and the Path Forward

Number of pages: 48 Posted: 12 Jun 2026
Qingyu Chen, Xin Wang, Rong Zhou, Hyunjae Kim, Shuai Wang, Wenjun Zhao, Tianyu Liu, Irbaz Riaz, Lifang He, Yize Zhao, Carlos Oliver, Gunjan Tiyyagura, Mark Iscoe, Fares Alahdab, Hongyu Zhao, Hua Xu and Zhiyong Lu
Yale University, Yale University, Yale University, Yale University, Yale University, Yale University, Yale University, Mayo Clinic, Lehigh University, Yale University, Vanderbilt University, Yale University, Yale University, University of Missouri, Yale School of Public Health - Department of Biostatistics, Yale University and Government of the United States of America - National Center of Biotechnology Information
Downloads 267

Abstract:

Loading...

2.

Can OpenAI o1's Enhanced Reasoning Capabilities Extend to Ophthalmology? A Benchmark Study Across Large Language Models and Text Generation Metrics

Number of pages: 34 Posted: 15 Jan 2025
Sahana Srinivasan, Xuguang Ai, Minjie Zou, Ke Zou, Hyunjae Kim, Thaddaeus Wai Soon Lo, Krithi Pushpanathan, Yiming Kong, Anran Li, Maxwell Singer, Fares Antaki, David Ziyou Chen, Dianbo Liu, Ron A. Adelman, Qingyu Chen and Yih Chung Tham
National University of Singapore (NUS), Yale University, National University of Singapore (NUS), National University of Singapore (NUS), Yale University, Singapore National Eye Centre - Singapore Eye Research Institute, National University of Singapore (NUS), Yale University, Yale University, Yale University, Cleveland Clinic, National University of Singapore (NUS), Massachusetts Institute of Technology (MIT) - MIT Computer Science and Artificial Intelligence Laboratory, Yale University, Yale University and Singapore National Eye Centre
Downloads 139 (527,599)

Abstract:

Loading...

Large Language Model, OpenAI o1, Ophthalmology, Medical Question Answering, Natural Language Processing, Text-Generation Metrics

3.

Are Multimodal LLMs Ready for Clinical Dermatology? A Real-World Evaluation in Dermatology

Number of pages: 24 Posted: 20 May 2026
Ruoyi Jiang, Hyunjae Kim, Zhenyue Qin, Morten Lee, Margaret MacGibeny, Ailish Hanly, Angela Sadlowski, Shanin Chowdhury, Xuguang Ai, Jeffrey Gehlhausen and Qingyu Chen
Yale University, Yale University, Yale University, Yale University, Yale University, Yale University, Yale University, Yale University, Yale University, Yale University and Yale University
Downloads 52 (1,249,711)

Abstract:

Loading...

multimodal large language models, dermatology artificial intelligence, dermatology consultation, clinical decision support