Ting, Daniel Shu Wei

Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs

Rim, T. H., Lee, C. J., Tham, Y.-C., Cheung, N., Yu, M., Lee, G., Kim, Y., Ting, D. S. W., Chong, C. C. Y., Choi, Y. S., et al. (2021) · The Lancet Digital Health

Cardiac Imaging and DiagnosticsRetinal Imaging and Analysis

Cited by 234

Cost-effectiveness of a National Telemedicine Diabetic Retinopathy Screening Program in Singapore

Nguyen, H. V., Tan, G. S. W., Tapp, R. J., Mital, S., Ting, D. S. W., Wong, H. T., Tan, C. S., Laude, A., Tai, E. S., Tan, N. C., et al. (2016) · Ophthalmology

Health Systems, Economic Evaluations, Quality of LifeRetinal Diseases and Treatments

Cited by 218

Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist

Ning, Y., Teixayavong, S., Shang, Y., Savulescu, J., Nagaraj, V., Miao, D., Mertens, M., Ting, D. S. W., Ong, J. C. L., Liu, M., et al. (2024) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 212

Large language models and their impact in ophthalmology

Betzler, B. K., Chen, H., Cheng, C.-Y., Lee, C. S., Ning, G., Song, S. J., Lee, A. Y., Kawasaki, R., van Wijngaarden, P., Grzybowski, A., et al. (2023) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationOphthalmology and Visual Health Research

Cited by 161

Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness

Ke, Y. H., Jin, L., Elangovan, K., Abdullah, H. R., Liu, N., Sia, A. T. H., Soh, C. R., Tung, J. Y. M., Ong, J. C. L., Kuo, C.-F., et al. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 151

Generative artificial intelligence in medicine

Teo, Z. L., Thirunavukarasu, A. J., Elangovan, K., Cheng, H., Moova, P., Soetikno, B., Nielsen, C., Pollreisz, A., Ting, D. S. J., Morris, R. J. T., et al. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 119

Artificial intelligence education: An evidence-based medicine approach for consumers, translators, and developers

Ng, F. Y. C., Thirunavukarasu, A. J., Cheng, H., Tan, T. F., Gutierrez, L., Lan, Y., Ong, J. C. L., Chong, Y. S., Ngiam, K. Y., Ho, D., et al. (2023) · Cell Reports Medicine

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 113

Artificial intelligence, ChatGPT, and other large language models for social determinants of health: Current state and future directions

Ong, J. C. L., Seng, B. J. J., Law, J. Z. F., Low, L. L., Kwa, A. L. H., Giacomini, K. M., & Ting, D. S. W. (2024) · Cell Reports Medicine

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 111

Different fundus imaging modalities and technical factors in AI screening for diabetic retinopathy: a review

Lim, G., Bellemo, V., Xie, Y., Lee, X. Q., Yip, M. Y. T., & Ting, D. S. W. (2020) · Eye and Vision

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 96

Artificial Intelligence in Diabetic Eye Disease Screening

Cheung, C. Y.-L., Tang, F., Ting, D. S. W., Tan, G. S. W., & Wong, T. Y. (2019) · Asia-Pacific Journal of Ophthalmology

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 82

A translational perspective towards clinical AI fairness

Liu, M., Ning, Y., Teixayavong, S., Mertens, M., Xu, J., Ting, D. S. W., Cheng, L. T.-E., Ong, J. C. L., Teo, Z. L., Tan, T. F., et al. (2023) · npj Digital Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 82

Medical education and physician training in the era of artificial intelligence

Xu, Y., Jiang, Z., Ting, D. S. W., Kow, A. W. C., Bello, F., Car, J., Tham, Y.-C., & Wong, T. Y. (2024) · Singapore Medical Journal

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 76

AI-induced never-skilling in medical education

Ke, Y., Jin, L., Ong, J. C. L., Thirunavukarasu, A. J., Car, J., Cheung, C. Y., Tham, Y. C., Ting, D. S. W., Ong, M. E. H., Compton, S., et al. (2026) · Nature Medicine

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 71

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

Ong, J. C. L., Chen, M. H., Ng, N., Elangovan, K., Tan, N. Y. T., Jin, L., Xie, Q., Ting, D. S. W., Rodriguez-Monguio, R., Bates, D. W., et al. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationPharmacovigilance and Adverse Drug Reactions

Cited by 64

Mitigating cognitive biases in clinical decision-making through multi-agent conversations using large language models: simulation study

Ke, Y., Yang, R., Lie, S. A., Lim, T. X. Y., Ning, Y., Li, I., Abdullah, H. R., Ting, D. S. W., & Liu, N. (2024) · Journal of Medical Internet Research

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 64

Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening

Xie, Y., Gunasekeran, D. V., Balaskas, K., Keane, P. A., Sim, D. A., Bachmann, L. M., Macrae, C., & Ting, D. S. W. (2020) · Translational Vision Science & Technology

Retinal Imaging and AnalysisArtificial Intelligence in Healthcare and Education

Cited by 59

Large language model as clinical decision support system augments medication safety in 16 clinical specialties

Ong, J. C. L., Jin, L., Elangovan, K., Lim, G. Y. S., Lim, D. Y. Z., Sng, G. G. R., Ke, Y. H., Tung, J. Y. M., Zhong, R. J., Koh, C. M. Y., et al. (2025) · Cell Reports Medicine

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 58

Use of artificial intelligence with retinal imaging in screening for diabetes-associated complications: systematic review

Yang, Q., Bee, Y. M., Lim, C. C., Sabanayagam, C., Yim-Lui Cheung, C., Wong, T. Y., Ting, D. S. W., Lim, L.-L., Li, H., He, M., et al. (2025) · eClinicalMedicine

Retinal Imaging and AnalysisArtificial Intelligence in Healthcare

Cited by 38

Digital tools in heart failure: addressing unmet needs

Myhre, P. L., Tromp, J., Ouwerkerk, W., Ting, D. S. W., Docherty, K. F., Gibson, C. M., & Lam, C. S. P. (2024) · The Lancet Digital Health

Heart Failure Treatment and ManagementMobile Health and mHealth Applications

Cited by 31

Automated and computer-assisted detection, classification, and diagnosis of diabetic retinopathy

Abràmoff, M. D., Leng, T., Ting, D. S. W., Rhee, K., Horton, M. B., Brady, C. J., & Chiang, M. F. (2020) · Telemedicine and e-Health

Retinal Imaging and AnalysisArtificial Intelligence in Healthcare and Education

Cited by 30

Clinical and economic impact of a large language model in perioperative medicine: a randomized crossover trial

Ke, Y. H., Yang Ong, B. S., Jin, L., Sim, J. X. L., Chan, C. H., Soh, C. R., Wong, D. J. N., Liu, N., Sng, B. L., Ting, D. S. W., et al. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 19

Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist

Ning, Y., Teixayavong, S., Shang, Y., Savulescu, J., Nagaraj, V., Miao, D., Mertens, M., Ting, D. S. W., Ong, J. C. L., Liu, M., et al. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 9

Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4

Tan, T. F., Elangovan, K., Jin, L., Jie, Y., Yong, L., Lim, J., Poh, S., Ng, W. Y., Lim, D., Ke, Y., et al. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 7

Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias

Ke, Y. H., Yang, R., Lie, S. A., Lim, T. X. Y., Abdullah, H. R., Ting, D. S. W., & Liu, N. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 5