Thirunavukarasu, Arun James

Large language models in medicine

Thirunavukarasu, A. J., Ting, D. S. J., Elangovan, K., Gutierrez, L., Tan, T. F., & Ting, D. S. W. (2023) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 3,944

Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023

Hay, S. I., Ong, K. L., Santomauro, D. F., A, B., Aalipour, M. A., Aalruz, H., Ababneh, H. S., Abaraogu, U. O., Abate, B. B., Abbafati, C., et al. (2025) · The Lancet

Global Health and EpidemiologyCardiovascular Health and Risk Factors

Cited by 916

Large language models in health care: Development, applications, and challenges

Yang, R., Tan, T. F., Lu, W., Thirunavukarasu, A. J., Ting, D. S. W., & Liu, N. (2023) · Health Care Science

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 366

Large Language Models for Chatbot Health Advice Studies: A Systematic Review

Huo, B., Boyle, A., Marfo, N., Tangamornsuksan, W., Steen, J. P., McKechnie, T., Lee, Y., Mayol, J., Antoniou, S. A., Thirunavukarasu, A. J., et al. (2025) · JAMA Network Open

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 283

Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023

Schumacher, A. E., Zheng, P., Barber, R. M., A, B., Aalipour, M. A., Aalruz, H., Ababneh, H. S., Abaraogu, U. O., Abbafati, C., Abbas, N., et al. (2025) · The Lancet

Insurance, Mortality, Demography, Risk ManagementGlobal Cancer Incidence and Screening

Cited by 209

Trialling a Large Language Model (ChatGPT) in General Practice With the Applied Knowledge Test: Observational Study Demonstrating Opportunities and Limitations in Primary Care

Thirunavukarasu, A. J., Hassan, R., Mahmood, S., Sanghera, R., Barzangi, K., El Mukashfi, M., & Shah, S. (2023) · JMIR Medical Education

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 187

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

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

Large language models will not replace healthcare professionals: curbing popular fears and hype.

Thirunavukarasu, A. J. (2023) · Journal of the Royal Society of Medicine

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 63