Duke-NUS AI Cardiac Arrest Recovery Prediction Singapore
Duke-NUS Medical School researchers adapt AI for accurate prediction of neurological outcomes post-cardiac arrest, boosting clinical decisions in Singapore and beyond.
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Nan Liu is an Associate Professor at the Centre for Quantitative Medicine and the Programme in Health Services and Systems Research at Duke-NUS Medical School. He serves as Director of the Duke-NUS AI + Medical Sciences Initiative (DAISI) and Co-Director of the SingHealth Duke-NUS AI in Medicine Institute (AIMI). He is also a Domain Lead (Healthcare and Human Potential) at the NUS Artificial Intelligence Institute, teaches at the NUS Department of Biomedical Informatics, and is a graduate faculty member at Duke University. Clinically, he is affiliated with SingHealth. Dr. Liu holds a PhD in Machine Learning from Nanyang Technological University, Singapore.
Dr. Liu conducts research on artificial intelligence, machine learning, and data science with applications in various clinical domains, with a focus on technology translation and commercialization. He co-founded TIIM Healthcare Pte Ltd and serves as its Scientific Advisor. His work is supported by funding from the National Medical Research Council, National Research Foundation, Ministry of Education, National Health Innovation Centre, AI Singapore, Duke-NUS Medical School, SingHealth Foundation, and industrial partners including Continental AG. He has served as Associate Editor or Editorial Board Member for journals including npj Digital Medicine, PLOS Medicine, BMC Medicine, and IEEE Journal of Biomedical and Health Informatics, and as a reviewer for The Lancet, JAMA, and Nature Medicine. He participates on program committees for conferences such as AAAI, NeurIPS, and AMIA. He is a Fellow of the American Medical Informatics Association (FAMIA).
Duke-NUS Medical School researchers adapt AI for accurate prediction of neurological outcomes post-cardiac arrest, boosting clinical decisions in Singapore and beyond.