Daniel Shu Wei Ting

42 papers A* 1Misc 1Journal 32Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Toward Global Large Language Models in Medicine. CoRR Rui Yang, Huitao Li, Weihao Xuan, Heli Qi, Xin Li, Kunyu Yu, Yingjian Chen, Rongrong Wang, Jacques Behmoaras, Tianxi Cai, Bibhas Chakraborty, Qingyu Chen, Lionel Tim-Ee Cheng, Marie-Louise Damwanza, Chido Dzinotyiwei, Aosong Feng, Chuan Hong, Yusuke Iwasawa, Yuhe Ke, Linah Kitala, Taehoon Ko, Jisan Lee, Irene Li, Jonathan Chong Kai Liew, Hongfang Liu, Lian Leng Low, Edison Marrese-Taylor, Yutaka Matsuo, Isheanesu Misi, Yilin Ning, Jasmine Chiat Ling Ong, Marcus Eng Hock Ong, Enrico Petretto, Hossein Rouhizadeh, Abiram Sandralegar, Oren Schreier, Iain Bee Huat Tan, Patrick Tan, Daniel Shu Wei Ting, Junjue Wang, Chunhua Weng, Matthew Yu Heng Wong, Fang Wu, Yunze Xiao, Xuhai Xu, Qingcheng Zeng, Zhuo Zheng, Yifan Peng, Douglas Teodoro, Nan Liu
2025	J	`jnl`	A scoping review and evidence gap analysis of clinical AI fairness. npj Digit. Medicine Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jingchi Liao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
2025	J	`jnl`	A scoping review on generative AI and large language models in mitigating medication related harm. npj Digit. Medicine 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
2025	J	`jnl`	Clinical and economic impact of a large language model in perioperative medicine: a randomized crossover trial. npj Digit. Medicine Yuhe Ke, Bernard Soon Yang Ong, Liyuan Jin, Jacqueline Sim, Chi Ho Chan, Chai Rick Soh, Danny Jon Nian Wong, Nan Liu, Ban Leong Sng, Daniel Shu Wei Ting, Su Qian Yeo, Marcus Eng Hock Ong, Hairil Rizal Abdullah
2025	J	`jnl`	EVLF-FM: Explainable Vision Language Foundation Model for Medicine. CoRR Yang Bai, Haoran Cheng, Yang Zhou, Jun Zhou, Arun Thirunavukarasu, Yuhe Ke, Jie Yao, Kanae Fukutsu, Chrystie Wan Ning Quek, Ashley Hong, Laura Gutierrez, Zhen Ling Teo, Darren Shu Jeng Ting, Brian T. Soetikno, Christopher S. Nielsen, Tobias Elze, Zengxiang Li, Linh Le Dinh, Hiok Hong Chan, Victor Koh, Marcus Tan, Kelvin Z. Li, Leonard Yip, Ching Yu Cheng, Yih Chung Tham, Gavin Siew Wei Tan, Leopold Schmetterer, Marcus Ang, Rahat Hussain, Jod Mehta, Tin Aung, Lionel Tim-Ee Cheng, Tran Nguyen Tuan Anh, Chee Leong Cheng, Tien Yin Wong, Nan Liu, Iain Bee Huat Tan, Soon Thye Lim, Eyal Klang, Tony Kiat Hon Lim, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting
2025	J	`jnl`	Gender Bias in Large Language Models for Healthcare: Assignment Consistency and Clinical Implications. CoRR Mingxuan Liu, Yuhe Ke, Wentao Zhu, Mayli Mertens, Yilin Ning, Jingchi Liao, Chuan Hong, Daniel Shu Wei Ting, Yifan Peng, Danielle S. Bitterman, Marcus Eng Hock Ong, Nan Liu
2025	J	`jnl`	Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM). CoRR Yang Zhou, Chrystie Wan Ning Quek, Jun Zhou, Yan Wang, Yang Bai, Yuhe Ke, Jie Yao, Laura Gutierrez, Zhen Ling Teo, Darren Shu Jeng Ting, Brian T. Soetikno, Christopher S. Nielsen, Tobias Elze, Zengxiang Li, Linh Le Dinh, Lionel Tim-Ee Cheng, Tran Nguyen Tuan Anh, Chee Leong Cheng, Tien Yin Wong, Nan Liu, Iain Bee Huat Tan, Tony Kiat Hon Lim, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting
2025	J	`jnl`	Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness. npj Digit. Medicine 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
2025	J	`jnl`	Retrieval-Augmented Generation in Medicine: A Scoping Review of Technical Implementations, Clinical Applications, and Ethical Considerations. CoRR Rui Yang, Matthew Yu Heng Wong, Huitao Li, Xin Li, Wentao Zhu, Jingchi Liao, Kunyu Yu, Jonathan Chong Kai Liew, Weihao Xuan, Yingjian Chen, Yuhe Ke, Jasmine Chiat Ling Ong, Douglas Teodoro, Chuan Hong, Daniel Shu Wei Ting, Nan Liu
2025	J	`jnl`	The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine. CoRR Rui Yang, Huitao Li, Matthew Yu Heng Wong, Yuhe Ke, Xin Li, Kunyu Yu, Jingchi Liao, Jonathan Chong Kai Liew, Sabarinath Vinod Nair, Jasmine Chiat Ling Ong, Irene Li, Douglas Teodoro, Chuan Hong, Daniel Shu Wei Ting, Nan Liu
2024	—	`conf`	Cost-Sensitive Distribution Alignment for Improving Automated Medical Diagnosis Using Retinal Fundus Photography. CAI Yangqin Feng, Xinxing Xu, Zizhou Wang, Yan Wang, Huazhu Fu, Shaohua Li, Liangli Zhen, Tien-En Tan, Mukharram M. Bikbov, Jost B. Jonas, Chee Wai Wong, Ching-Yu Cheng, Daniel Shu Wei Ting, Rick Siow Mong Goh, Yong Liu
2024	J	`jnl`	Development and Testing of Retrieval Augmented Generation in Large Language Models - A Case Study Report. CoRR 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
2024	J	`jnl`	Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties. CoRR 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
2024	J	`jnl`	Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias. CoRR Yuhe Ke, Rui Yang, Sui An Lie, Taylor Xin Yi Lim, Hairil Rizal Abdullah, Daniel Shu Wei Ting, Nan Liu
2024	J	`jnl`	Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4. CoRR 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
2024	J	`jnl`	From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning. CoRR Yang Bai, Yang Zhou, Jun Zhou, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu
2024	J	`jnl`	Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. IEEE Trans. Medical Imaging Yan Wang, Liangli Zhen, Tien-En Tan, Huazhu Fu, Yangqin Feng, Zizhou Wang, Xinxing Xu, Rick Siow Mong Goh, Yipin Ng, Claire Calhoun, Gavin Siew Wei Tan, Jennifer K. Sun, Yong Liu, Daniel Shu Wei Ting
2024	J	`jnl`	Lightweight Large Language Model for Medication Enquiry: Med-Pal. CoRR 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
2024	J	`jnl`	Optical coherence tomography choroidal enhancement using generative deep learning. npj Digit. Medicine Valentina Bellemo, Ankit Kumar Das, Syna Sreng, Jacqueline Chua, Damon Wing Kee Wong, Janika Shah, Rahul Jonas, Bingyao Tan, Xinyu Liu, Xinxing Xu, Gavin Siew Wei Tan, Rupesh Agrawal, Daniel Shu Wei Ting, Yong Liu, Leopold Schmetterer
2024	J	`jnl`	Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) - a Large Language Model Chatbot for Perioperative Medicine. CoRR 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
2024	J	`jnl`	Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine. CoRR Rui Yang, Yilin Ning, Emilia Keppo, Mingxuan Liu, Chuan Hong, Danielle S. Bitterman, Jasmine Chiat Ling Ong, Daniel Shu Wei Ting, Nan Liu
2024	J	`jnl`	Towards Clinical AI Fairness: Filling Gaps in the Puzzle. CoRR Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
2024	J	`jnl`	oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness. CoRR 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
2023	J	`jnl`	A translational perspective towards clinical AI fairness. npj Digit. Medicine Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
2023	J	`jnl`	Federated and distributed learning applications for electronic health records and structured medical data: A scoping review. CoRR Siqi Li, Pinyan Liu, Gustavo G. Nascimento, Xinru Wang, Fabio Renato Manzolli Leite, Bibhas Chakraborty, Chuan Hong, Yilin Ning, Feng Xie, Zhen Ling Teo, Daniel Shu Wei Ting, Hamed Haddadi, Marcus Eng Hock Ong, Marco Aurélio Peres, Nan Liu
2023	J	`jnl`	Federated and distributed learning applications for electronic health records and structured medical data: a scoping review. J. Am. Medical Informatics Assoc. Siqi Li, Pinyan Liu, Gustavo G. Nascimento, Xinru Wang, Fabio Renato Manzolli Leite, Bibhas Chakraborty, Chuan Hong, Yilin Ning, Feng Xie, Zhen Ling Teo, Daniel Shu Wei Ting, Hamed Haddadi, Marcus Eng Hock Ong, Marco Aurélio Peres, Nan Liu
2023	J	`jnl`	Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist. CoRR Yilin Ning, Salinelat Teixayavong, Yuqing Shang, Julian Savulescu, Vaishaanth Nagaraj, Di Miao, Mayli Mertens, Daniel Shu Wei Ting, Jasmine Chiat Ling Ong, Mingxuan Liu, Jiuwen Cao, Michael Dunn, Roger Vaughan, Marcus Eng Hock Ong, Joseph Jao Yiu Sung, Eric J. Topol, Nan Liu
2023	J	`jnl`	Towards clinical AI fairness: A translational perspective. CoRR Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
2022	Misc	`conf`	A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study. AMIA Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu
2022	J	`jnl`	A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study. CoRR Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu
2022	J	`jnl`	Shapley variable importance cloud for interpretable machine learning. Patterns Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu
2021	—	`conf`	Few-Shot Domain Adaptation with Polymorphic Transformers. MICCAI (2) Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh
2021	J	`jnl`	Few-Shot Domain Adaptation with Polymorphic Transformers. CoRR Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh
2021	—	`conf`	Partially-Supervised Learning for Vessel Segmentation in Ocular Images. MICCAI (1) Yanyu Xu, Xinxing Xu, Lei Jin, Shenghua Gao, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu
2021	J	`jnl`	Shapley variable importance clouds for interpretable machine learning. CoRR Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu
2019	A*	`conf`	Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study. AAAI Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel Shu Wei Ting, Tien Yin Wong, Mong-Li Lee, Wynne Hsu
2019	—	`conf`	Multi-Instance Multi-Scale CNN for Medical Image Classification. MICCAI (4) Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh
2019	J	`jnl`	Multi-Instance Multi-Scale CNN for Medical Image Classification. CoRR Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh
2019	—	`conf`	Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation. OMIA@MICCAI Gabriel Tjio, Shaohua Li, Xinxing Xu, Daniel Shu Wei Ting, Yong Liu, Rick Siow Mong Goh
2018	—	`conf`	Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs. ACCV Workshops Valentina Bellemo, Michelle Yuen Ting Yip, Yuchen Xie, Xin Qi Lee, Quang Duc Nguyen, Haslina Hamzah, Jinyi Ho, Gilbert Lim, Dejiang Xu, Mong-Li Lee, Wynne Hsu, Renata Garcia-Franco, Geeta Menon, Ecosse Lamoureux, Ching Yu Cheng, Tien Yin Wong, Daniel Shu Wei Ting
2018	—	`conf`	Enhanced Detection of Referable Diabetic Retinopathy via DCNNs and Transfer Learning. ACCV Workshops Michelle Yuen Ting Yip, Zhan Wei Lim, Gilbert Lim, Nguyen Duc Quang, Haslina Hamzah, Jinyi Ho, Valentina Bellemo, Yuchen Xie, Xin Qi Lee, Mong-Li Lee, Wynne Hsu, Tien Yin Wong, Daniel Shu Wei Ting
2018	—	`conf`	Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis. ACCV Workshops Valentina Bellemo, Philippe Burlina, Yong Liu, Tien Yin Wong, Daniel Shu Wei Ting