Kabilan Elangovan

According to our database, Kabilan Elangovan authored at least 12 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

When Fine-Tuning Changes the Evidence: Architecture-Dependent Semantic Drift in Chest X-Ray Explanations.

Kabilan Elangovan, Daniel S. W. Ting

CoRR, April, 2026

Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification.

Kabilan Elangovan, Daniel S. W. Ting

CoRR, April, 2026

Clinical Validation of Medical-based Large Language Model Chatbots on Ophthalmic Patient Queries with LLM-based Evaluation.

Ting Fang Tan, Kabilan Elangovan, Andreas Pollreisz, Kevin Bryan Dy, Wei Yan Ng, Joy Le Yi Wong, Jin Liyuan, Chrystie Wan Ning Quek, Ashley Shuen Ying Hong, Arun James Thirunavukarasu, Shelley Yin-His Chang, Jie Yao, Dylan Hong, Zhaoran Wang, Amrita Gupta, Daniel S. W. Ting

CoRR, February, 2026

2025

A scoping review on generative AI and large language models in mitigating medication related harm.

Jasmine Chiat Ling Ong, Michael Hao Chen, Ning Ng, Kabilan Elangovan, Nichole Yue Ting Tan, Liyuan Jin, Qihuang Xie, Daniel Shu Wei Ting, Rosa Rodriguez-Monguio, David W. Bates, Nan Liu

npj Digit. Medicine, 2025

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, Alex Tiong Heng Sia, Chai Rick Soh, Joshua Yi Min Tung, Jasmine Chiat Ling Ong, Chang Fu Kuo, Shao-Chun Wu, Vesela P. Kovacheva, Daniel Shu Wei Ting

npj Digit. Medicine, 2025

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, Hairil Rizal Abdullah

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, Alex Tiong Heng Sia, Chai Rick Soh, Joshua Yi Min Tung, Jasmine Chiat Ling Ong, Chang Fu Kuo, Shao-Chun Wu, Vesela P. Kovacheva, Daniel Shu Wei Ting

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, Kathleen M. Giacomini, Daniel Shu Wei Ting

CoRR, 2024

A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability.

Ting Fang Tan, Kabilan Elangovan, Jasmine Chiat Ling Ong, Nigam Shah, Joseph Jao Yiu Sung, Tien Yin Wong, Lan Xue, Nan Liu, Haibo Wang, Chang Fu Kuo, Simon Chesterman, Zee Kin Yeong, Daniel S. W. Ting

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, 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, Jack Kian Chng, Aung Than, Ken Junyang Goh, Daniel Shu Wei Ting

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, Alex Tiong Heng Sia, Chai Rick Soh, Joshua Yi Min Tung, Jasmine Chiat Ling Ong, Daniel Shu Wei Ting

CoRR, 2024