Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis. - Valentina Bellemo; Philippe Burlina; Yong Liu 026; Tien Yin Wong; Daniel Shu Wei Ting (ACCV Workshops, 2018)

Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs. - Valentina Bellemo; Michelle Yuen Ting Yip; Yuchen Xie; Xin Qi Lee; Quang Duc Nguyen 001; Haslina Hamzah; Jinyi Ho; Gilbert Lim; Dejiang Xu; Mong-Li Lee; Wynne Hsu; Renata Garcia-Franco; et al. (ACCV Workshops, 2018)

Enhanced Detection of Referable Diabetic Retinopathy via DCNNs and Transfer Learning. - Michelle Yuen Ting Yip; Zhan Wei Lim; Gilbert Lim; Nguyen Duc Quang 001; Haslina Hamzah; Jinyi Ho; Valentina Bellemo; Yuchen Xie; Xin Qi Lee; Mong-Li Lee; Wynne Hsu; Tien Yin Wong; et al. (ACCV Workshops, 2018)

Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study. - Gilbert Lim; Zhan Wei Lim; Dejiang Xu; Daniel Shu Wei Ting; Tien Yin Wong; Mong-Li Lee; Wynne Hsu (AAAI, 2019)

Multi-Instance Multi-Scale CNN for Medical Image Classification. - Shaohua Li 003; Yong Liu 026; Xiuchao Sui; Cheng Chen 008; Gabriel Tjio; Daniel Shu Wei Ting; Rick Siow Mong Goh (MICCAI (4), 2019)

Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation. - Gabriel Tjio; Shaohua Li 003; Xinxing Xu; Daniel Shu Wei Ting; Yong Liu 026; Rick Siow Mong Goh (OMIA@MICCAI, 2019)

Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study. - Daniel S. W. Ting; Carol Yim-lui Cheung; Quang Duc Nguyen 001; Charumathi Sabanayagam; Gilbert Lim; Zhan Wei Lim; Gavin Siew Wei Tan; Yu Qiang Soh; Leopold Schmetterer; Ya Xing Wang; Jost B. Jonas; Rohit Varma; et al. (npj Digit. Medicine, 2019)

Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection. - Fei Li; Diping Song; Han Chen; Jian Xiong; Xingyi Li; Hua Zhong; Guangxian Tang; Sujie Fan; Dennis S. C. Lam; Weihua Pan; Yajuan Zheng; Ying Li; et al. (npj Digit. Medicine, 2020)

Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy. - Michelle Yuen Ting Yip; Gilbert Lim; Zhan Wei Lim; Quang Duc Nguyen 001; Crystal C. Y. Chong; Marco Yu; Valentina Bellemo; Yuchen Xie; Xin Qi Lee; Haslina Hamzah; Jinyi Ho; Tien-En Tan; et al. (npj Digit. Medicine, 2020)

Few-Shot Domain Adaptation with Polymorphic Transformers. - Shaohua Li 003; Xiuchao Sui; Jie Fu; Huazhu Fu; Xiangde Luo; Yangqin Feng; Xinxing Xu; Yong Liu 026; Daniel Shu Wei Ting; Rick Siow Mong Goh (MICCAI (2), 2021)

Partially-Supervised Learning for Vessel Segmentation in Ocular Images. - Yanyu Xu; Xinxing Xu; Lei Jin; Shenghua Gao; Rick Siow Mong Goh; Daniel Shu Wei Ting; Yong Liu 026 (MICCAI (1), 2021)

Shapley variable importance clouds for interpretable machine learning. - Yilin Ning; Marcus Eng Hock Ong; Bibhas Chakraborty; Benjamin Alan Goldstein; Daniel Shu Wei Ting; Roger Vaughan; Nan Liu 003 (CoRR, 2021)

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis. - Ravi Aggarwal; Viknesh Sounderajah; Guy Martin; Daniel S. W. Ting; Alan Karthikesalingam; Dominic King; Hutan Ashrafian; Ara Darzi (npj Digit. Medicine, 2021)

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. - Yilin Ning; Siqi Li 004; Marcus Eng Hock Ong; Feng Xie 004; Bibhas Chakraborty; Daniel Shu Wei Ting; Nan Liu 003 (AMIA, 2022)

Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection. - Fei Li; Diping Song; Han Chen; Jian Xiong; Xingyi Li; Hua Zhong; Guangxian Tang; Sujie Fan; Dennis S. C. Lam; Weihua Pan; Yajuan Zheng; Ying Li; et al. (npj Digit. Medicine, 2022)

Shapley variable importance cloud for interpretable machine learning. - Yilin Ning; Marcus Eng Hock Ong; Bibhas Chakraborty; Benjamin Alan Goldstein; Daniel Shu Wei Ting; Roger Vaughan; Nan Liu 003 (Patterns, 2022)

Towards clinical AI fairness: A translational perspective. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Mayli Mertens; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; Zhen Ling Teo; Ting Fang Tan; Ravi Chandran Narrendar; Fei Wang 001; et al. (CoRR, 2023)

Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist. - 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; et al. (CoRR, 2023)

Deep learning system to predict the 5-year risk of high myopia using fundus imaging in children. - Li Lian Foo; Gilbert Yong San Lim; Carla Lanca; Chee Wai Wong; Quan V. Hoang; Xiu Juan Zhang; Jason C. Yam; Leopold Schmetterer; Audrey Chia; Tien Yin Wong; Daniel S. W. Ting; Seang-Mei Saw; et al. (npj Digit. Medicine, 2023)

A translational perspective towards clinical AI fairness. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Mayli Mertens; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; Zhen Ling Teo; Ting Fang Tan; Ravi Chandran Narrendar; Fei Wang 001; et al. (npj Digit. Medicine, 2023)

Big data in corneal diseases and cataract: Current applications and future directions. - Darren S. J. Ting; Rashmi Deshmukh; Daniel S. W. Ting; Marcus Ang (Frontiers Big Data, 2023)

Federated and distributed learning applications for electronic health records and structured medical data: a scoping review. - Siqi Li 004; Pinyan Liu; Gustavo G. Nascimento; Xinru Wang; Fabio Renato Manzolli Leite; Bibhas Chakraborty; Chuan Hong; Yilin Ning; Feng Xie 004; Zhen Ling Teo; Daniel Shu Wei Ting; Hamed Haddadi; et al. (J. Am. Medical Informatics Assoc., 2023)

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)

Towards Clinical AI Fairness: Filling Gaps in the Puzzle. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Xiaoxuan Liu; Mayli Mertens; Yuqing Shang; Xin Li 079; Di Miao; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; et al. (CoRR, 2024)

Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine. - Rui Yang 016; Yilin Ning; Emilia Keppo; Mingxuan Liu; Chuan Hong; Danielle S. Bitterman; Jasmine Chiat Ling Ong; Daniel Shu Wei Ting; Nan Liu 003 (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 003; Haibo Wang; Chang Fu Kuo; Simon Chesterman; Zee Kin Yeong; 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)

From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning. - Yang Bai; Yang Zhou 017; Jun Zhou 014; Rick Siow Mong Goh; Daniel Shu Wei Ting; Yong Liu 026 (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)

Optical coherence tomography choroidal enhancement using generative deep learning. - 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; et al. (npj Digit. Medicine, 2024)

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. - Yan Wang 015; 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; et al. (IEEE Trans. Medical Imaging, 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)

A scoping review and evidence gap analysis of clinical AI fairness. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Xiaoxuan Liu; Mayli Mertens; Yuqing Shang; Xin Li 079; Di Miao; Jingchi Liao; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; et al. (npj Digit. Medicine, 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 003 (npj Digit. Medicine, 2025)

The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine. - Rui Yang 016; 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)