Integrating UMLS Knowledge into Large Language Models for Medical Question Answering. - Rui Yang 016; Edison Marrese-Taylor; Yuhe Ke; Lechao Cheng; Qingyu Chen 001; Irene Li (CoRR, 2023)

Cluster trajectory of SOFA score in predicting mortality in sepsis. - Yuhe Ke; Matilda Swee Sun Tang; Celestine Jia Ling Loh; Hairil Rizal Abdullah; Nicholas Brian Shannon (CoRR, 2023)

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. - Rui Yang; Haoran Liu; Edison Marrese-Taylor; Qingcheng Zeng; Yuhe Ke; Wanxin Li; Lechao Cheng; Qingyu Chen 001; James Caverlee; Yutaka Matsuo; Irene Li (BioNLP@ACL, 2024)

Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias. - Yuhe Ke; Rui Yang 016; Sui An Lie; Taylor Xin Yi Lim; Hairil Rizal Abdullah; Daniel Shu Wei Ting; Nan Liu 003 (CoRR, 2024)

Development and Testing of Retrieval Augmented Generation in Large Language Models - A Case Study Report. - Yuhe Ke; Liyuan Jin; Kabilan Elangovan; Hairil Rizal Abdullah; Nan Liu 003; Alex Tiong Heng Sia; Chai Rick Soh; Joshua Yi Min Tung; Jasmine Chiat Ling Ong; Daniel Shu Wei Ting (CoRR, 2024)

Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties. - Jasmine Chiat Ling Ong; Liyuan Jin; Kabilan Elangovan; Gilbert Yong San Lim; Daniel Yan Zheng Lim; Gerald Gui Ren Sng; Yuhe Ke; Joshua Yi Min Tung; Ryan Jian Zhong; Christopher Ming Yao Koh; Keane Zhi Hao Lee; Xiang Chen; et al. (CoRR, 2024)

Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4. - Ting Fang Tan; Kabilan Elangovan; Liyuan Jin; Yao Jie; Li Yong; Joshua Lim; Stanley Poh; Wei Yan Ng; Daniel Yan Zheng Lim; Yuhe Ke; Nan Liu 003; Daniel Shu Wei Ting (CoRR, 2024)

Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare. - Mingxuan Liu; Yilin Ning; Yuhe Ke; Yuqing Shang; Bibhas Chakraborty; Marcus Eng Hock Ong; Roger Vaughan; Nan Liu 003 (CoRR, 2024)

Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis. - Siqi Li 004; Xin Li 079; Kunyu Yu; Di Miao; Mingcheng Zhu 003; Mengying Yan; Yuhe Ke; Danny D'Agostino; Yilin Ning; Qiming Wu 001; Ziwen Wang; Yuqing Shang; et al. (CoRR, 2024)

Lightweight Large Language Model for Medication Enquiry: Med-Pal. - Kabilan Elangovan; Jasmine Chiat Ling Ong; Liyuan Jin; Benjamin Jun Jie Seng; Yu Heng Kwan; Lit Soo Tan; Ryan Jian Zhong; Justina Koi Li Ma; Yuhe Ke; Nan Liu 003; Kathleen M. Giacomini; Daniel Shu Wei Ting (CoRR, 2024)

oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness. - Yuhe Ke; Liyuan Jin; Kabilan Elangovan; Hairil Rizal Abdullah; Nan Liu 003; Alex Tiong Heng Sia; Chai Rick Soh; Joshua Yi Min Tung; Jasmine Chiat Ling Ong; Chang Fu Kuo; Shao-Chun Wu; Vesela P. Kovacheva; et al. (CoRR, 2024)

Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) - a Large Language Model Chatbot for Perioperative Medicine. - Yuhe Ke; Liyuan Jin; Kabilan Elangovan; Bryan Wen Xi Ong; Chin Yang Oh; Jacqueline Sim; Kenny Wei-Tsen Loh; Chai Rick Soh; Jonathan Ming Hua Cheng; Aaron Kwang Yang Lee; Daniel Shu Wei Ting; Nan Liu 003; et al. (CoRR, 2024)

Disparities in clinical studies of AI enabled applications from a global perspective. - Rui Yang 016; Sabarinath Vinod Nair; Yuhe Ke; Danny D'Agostino; Mingxuan Liu; Yilin Ning; Nan Liu 003 (npj Digit. Medicine, 2024)

FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare. - Mingxuan Liu; Yilin Ning; Yuhe Ke; Yuqing Shang; Bibhas Chakraborty; Marcus Eng Hock Ong; Roger Vaughan; Nan Liu 003 (Patterns, 2024)

Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness. - Yuhe Ke; Liyuan Jin; Kabilan Elangovan; Hairil Rizal Abdullah; Nan Liu 003; Alex Tiong Heng Sia; Chai Rick Soh; Joshua Yi Min Tung; Jasmine Chiat Ling Ong; Chang Fu Kuo; Shao-Chun Wu; Vesela P. Kovacheva; et al. (npj Digit. Medicine, 2025)

Clinical and economic impact of a large language model in perioperative medicine: a randomized crossover trial. - Yuhe Ke; Bernard Soon Yang Ong; Liyuan Jin; Jacqueline Sim; Chi Ho Chan; Chai Rick Soh; Danny Jon Nian Wong; Nan Liu 003; Ban Leong Sng; Daniel Shu Wei Ting; Su Qian Yeo; Marcus Eng Hock Ong; et al. (npj Digit. Medicine, 2025)

The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine. - Rui Yang; Huitao Li; Matthew Yu Heng Wong; Yuhe Ke; Xin Li 079; Kunyu Yu; Jingchi Liao; Jonathan Chong Kai Liew; Sabarinath Vinod Nair; Jasmine Chiat Ling Ong; Irene Li; Douglas Teodoro; et al. (CoRR, 2025)

Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM). - Yang Zhou 017; Chrystie Wan Ning Quek; Jun Zhou 014; Yan Wang 015; Yang Bai; Yuhe Ke; Jie Yao; Laura Gutierrez; Zhen Ling Teo; Darren Shu Jeng Ting; Brian T. Soetikno; Christopher S. Nielsen; et al. (CoRR, 2025)