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The AI Health World Summit, organised biennially by SingHealth, serves as a pivotal gathering for global leaders across healthcare, academia, government, legal, and industry sectors. This esteemed event converges experts to explore and deliberate on the latest advancements and applications of artificial intelligence in healthcare.

Planned for 2025, the summit will focus on crucial topics including last-mile adoptions of AI technologies, clinical applications in healthcare, data governance frameworks, AI and data privacy safeguards, advancements in vision and language models tailored for health contexts, explainable and responsible AI practices, and the promotion of AI education and literacy.

In 2023, the summit welcomed over 500 delegates from more than 20 countries, representing a diverse spectrum including clinicians, technical experts, academics, regulators, startups, technology firms, venture capitalists, and AI enthusiasts. The expert panel featured distinguished figures such as the Editor-in-Chiefs from prominent publications like Nature Medicine and Lancet Digital Health, global and regional Technical and Marketing Directors from leading technology companies such as Google and ASUS, and senior governmental leaders from Singapore’s Ministry of Health, National Research Foundation, and A*STAR.

Stay tuned for updates and announcements as we prepare to gather once again for AI Health World Summit 2025, fostering collaboration and innovation at the forefront of AI-driven healthcare solutions.

Brian_Anderson - AI Health World Summit 2025
Brian_Anderson - AI Health World Summit 2025

Dr Brian Anderson

CEO
Executive Leadership
Coalition for Health AI, Inc.(CHAI)

Dr. Brian Anderson is the CEO of the Coalition for Health AI (CHAI), a non-profit coalition he co-founded in 2021. CHAI is focused on developing a set of consensus-driven guidelines and best practices for Responsible AI in Health, as well as supporting the ability to independently test and validate AI for safety and effectiveness .Prior to CHAI, Dr. Anderson was the Chief Digital Health Physician at MITRE where he led research and development efforts across major strategic initiatives in Digital Health, including partnering with the United States Government and private sector organizations. He was also the co-PI on MITRE’s largest Health R&D effort in Oncology, supporting the Biden Administration’s Cancer Moonshot effort.

Caroline_Yap - AI Health World Summit 2025
Caroline_Yap - AI Health World Summit 2025

Ms Caroline Yap

Managing Director
Global AI Business and Applied Engineering
Google Cloud

Pioneer in leveraging AI/ML for enterprise transformation and ethical technology advocacy. As the Managing Director, Global AI Business and Applied Engineering at Google Cloud, Caroline leads a team of AI leaders who help enterprise clients and customers harness the power of AI/ML technologies to extract insights from their data and create value for their businesses. She has over 25 years experience in technology, with a strong background in applied infrastructure across networking, security, and cloud. Caroline also advises government, policy makers, and think tanks on responsible innovation with AI, drawing from her expertise in AI strategy, ethics, and governance. She is and has served as board advisor to private companies and non-profits.

Curtis_Langlotz - AI Health World Summit 2025
Curtis_Langlotz - AI Health World Summit 2025

Prof Curtis Langlotz

Senior Associate Vice Provost
Research
Stanford University

Dr. Langlotz is Professor of Radiology, Medicine, and Biomedical Data Science, and Senior Associate Vice Provost for Research at Stanford University. He also serves as Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), which comprises over 150 faculty at Stanford who conduct interdisciplinary machine learning research to promote health. Dr. Langlotz’s laboratory develops machine learning methods to detect disease and eliminate diagnostic errors. He has led many national and international efforts to improve medical imaging, including the RadLex terminology standard and the Medical Imaging and Data Resource Center (MIDRC), a U.S. national imaging research resource.

Daniel_Blezek - AI Health World Summit 2025
Wong_Tien_Yin - AI Health World Summit 2025

Dr Daniel Blezek

AI ScientistRadiologyMayo Clinic

Dr. Blezek is an AI Scientist in the Department of Radiology, Mayo Clinic. He has been involved in the development and clinical implementation of multiple AI algorithms for detection, segmentation and enhancement of medical images. He has a focus on development, regulatory verification and validation of AI algorithms.

Daniel_Ting - AI Health World Summit 2025
Daniel_Ting - AI Health World Summit 2025

Assoc Prof Daniel Ting

Director
AI Office
SingHealth

Dr Daniel Ting is the Associate Professor with Duke-NUS Medical School and Stanford University, senior consultant vitreo-retinal surgeon at the Singapore National Eye Center, Director of Singapore Health Service AI Office, and Associate Editor of npj Digital Medicine.
To date, Daniel has published >250 peer reviewed publications in high-impact journals, such as JAMA, NEJM, Lancet, Nature Medicine, and serves in American Academy of Ophthalmology, STARD-AI, QUADAS-AI and DECIDE-AI as an executive committee.
In 2022 and 2023, Daniel was ranked the Top 100 Ophthalmologists Power list by the Ophthalmologists, and ranked Top 100 clinical research (0.001%) in the World’s Top 2% Scientists by the Stanford University.
From 2010 to 2021, he was also ranked 1st for deep learning AI research scientist in the world across all domains (>55K researchers) by the ExpertScape.

Dr_Fidah_Alsagoff - AI Health World Summit 2025
Dr_Fidah_Alsagoff - AI Health World Summit 2025

Dr Fidah Alsagoff

Joint Head, Enterprise Development Group (Singapore) & Head, Life SciencesTemasek International

Dr Fidah Alsagoff is Joint Head, Enterprise Development Group (Singapore) & Head of Life Sciences Investment Group at Temasek International. He also serves on the Board of Trustees of the Singapore University of Technology & Design, and the Duke-NUS Medical School.

Fidah has an M.B.B.S. and Masters of Medicine (Public Health) from NUS. He also graduated as valedictorian from INSEAD with an Executive Masters of Business Administration (with Distinction). He is a recipient of the Lee Kuan Yew Scholarship.

Wang_Haibo - AI Health World Summit 2025
Wang_Haibo - AI Health World Summit 2025

Prof Haibo Wang

Director
Research Centre of Big Data and Artificial Intelligence for Medicine, First Affiliated Hospital of Sun Yat-Sen University

Professor Haibo Wang is the Director for Research Centre of Big Data and Artificial Intelligence for Medicine, First Affiliated Hospital of Sun Yat-sen University; and the executive Editor-in-Chief of Health Care Science, Institute for Hospital Management of Tsinghua University. Professor Wang’s research focus on the intersection of data science and artificial intelligence in medicine. He has published more than 100 SCI publications including prestigious international journals such as NEJM, Lancet, BMJ, NEJM AI and Lancet Digital Health.

Jianfei_Zhao - AI Health World Summit 2025
Jianfei_Zhao - AI Health World Summit 2025

Dr Jianfei Zhao

Deputy Editor
NEJM AI
NEJM Group

Jianfei Zhao plays a key role in the editorial operations and strategies, academic conferences, and clinical research training program at Jiahui Medical Research and Education Group in China. He has collaborated with editors and other functions from the NEJM Group for numerous projects, including the annual AI in Medicine Symposium. Previously, he was a scientific editor at Nature Communications. He earned a BSc from Peking University and a PhD in molecular biology from the University of Oregon. He completed his postdoctoral training at the U.S. National Cancer Institute.

Prof_Joseph_SUNG - AI Health World Summit 2025
Prof_Joseph_SUNG - AI Health World Summit 2025

Prof Joseph Sung

Senior Vice President
Health and Life Sciences
Nanyang Technological University Singapore

Prof Sung received his medical degree (MBBS) from The University of Hong Kong, and conferred PhD in biomedical sciences by the University of Calgary and MD by The Chinese University of Hong Kong.
He holds fellowships from multiple organisations worldwide including the Royal Colleges of Physicians of Edinburgh, Glasgow, London, and Australia, the American College of Gastroenterology, the Hong Kong College of Physicians, Japan Gastroenterological Endoscopy Society and Academy of Medicine, Singapore.
He has published over 1000 full scientific articles in leading medical and scientific journals and was listed as “Highly Cited Researchers” from 2018 to 2022 by Clarivate Analytics.

Lili_Qiu - AI Health World Summit 2025
Lili_Qiu - AI Health World Summit 2025

Dr Lili Qiu

Assistant Managing Director
Shanghai
Microsoft Research Asia

Dr. Lili Qiu is Assistant Managing Director of Microsoft Research Asia (MSRA) and is mainly responsible for overseeing the research, as well as the collaboration with industries, universities, and research institutes, at Microsoft Research Asia – Shanghai. She obtained her MS and PhD degrees in computer science from Cornell University. Dr. Qiu is an expert in Internet and wireless networking. In 2005, she joined the University of Texas at Austin as an Assistant Professor and later promoted to Full Professor. She joined MSRA in 2022. Dr. Qiu is an IEEE Fellow, a NAI Fellow and an ACM Fellow and also serves as the ACM SIGMOBILE chair. She was named an ACM Distinguished Scientist and was a recipient of the NSF CAREER award, among many other honors.

Malvina Eydelman - AI Health World Summit 2025
Malvina Eydelman - AI Health World Summit 2025

Dr Malvina Eydelman

Director
Office of Health Technology, Ophthalmic, Anesthesia, Respiratory, ENT, & Dental Devices
USA Food and Drug Administration

Dr. Eydelman is the Director of the FDA’s Office of Ophthalmic, Anesthesia, Respiratory, ENT, and Dental Devices. With over 25 years of experience, she has ensured the safety and efficacy of medical devices as a Senior Medical Advisor and Director in multiple divisions. She led the development of over 50 international and national standards, numerous regulations, and convened 30+ FDA Medical Device Committee meetings. A Harvard-trained M.D. and MIT Ph.D., she has organized multi-stakeholder partnerships, spearheaded clinical studies, authored 100+ publications, and presented 200+ lectures worldwide. Dr. Eydelman also holds a U.S. patent and an MIT Sloan certificate in Management and Innovation.

Michael_F_Chiang - AI Health World Summit 2025
Michael_F_Chiang - AI Health World Summit 2025

Dr Michael F. Chiang

Director
National Eye Institute
National Institutes of Health

Michael F. Chiang is Director of the National Eye Institute, at the National Institutes of Health in Bethesda, Maryland. By background, he is a pediatric ophthalmologist and is also board-certified in clinical informatics. His research focuses on the interface of biomedical informatics and clinical ophthalmology in areas such as retinopathy of prematurity (ROP), telehealth, artificial intelligence, electronic health records, data science, and genotype-phenotype correlation.

Naqi_Khan - AI Health World Summit 2025
Naqi_Khan - AI Health World Summit 2025

Dr Naqi Khan

Physician Leader, AI & ML
Global Healthcare Industry Solutions
Amazon Web Services

Dr. Naqi Khan, MD, MS currently serves as the Global Physician Leader for AI & Machine Learning at Amazon Web Services. Previously, he was Principal Program Lead for Health AI at Microsoft, where he launched a new biomedical natural language processing platform. Prior to Microsoft, he led clinical AI projects at Kaiser Permanente (KP), helping develop KP’s machine learning strategy for virtualized care. Dr. Khan completed his Emergency Medicine residency at New York Methodist, holds an M.D. from Stony Brook University, an M.S. in Biomedical Informatics from Vanderbilt University, and a B.S. in Biology and Information Science from Cornell University.

Nigam_Shah - AI Health World Summit 2025
Nigam_Shah - AI Health World Summit 2025

Prof Nigam Shah

Chief Data Scientist
Stanford Health Care

Dr. Nigam Shah is Professor of Medicine at Stanford University, and Chief Data Scientist for Stanford Health Care. His research is focused on bringing AI into clinical use, safely, ethically and cost-effectively. Dr. Shah is an inventor on eight patents, has authored over 300 scientific publications, and has co-founded three companies. Dr. Shah was inducted into the American College of Medical Informatics (ACMI) in 2015 and the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.

Robert JT Morris - AI Health World Summit 2025
Robert JT Morris - AI Health World Summit 2025

Prof Robert JT Morris

Chief Technology Strategist
Data, Science and Technology
Ministry of Health Office for Healthcare Transformation

Prof Robert JT Morris is Chief Technology Strategist for the Ministry of Health Office for Healthcare Transformation (MOHT) Singapore and concurrently Professor, National University of Singapore Yong Loo Lin School of Medicine. His team deploys computer science and AI-based solutions for chronic diseases and mental health. Previously, he led all IBM Research’s Global Laboratories, including Australia, Africa, China, India, Japan, Singapore and South America. Earlier, he led Personal Systems and Advanced Systems Research at IBM TJ Watson Research Center, and headed the IBM Almaden Research Center, Silicon Valley. Concurrently, he chaired the Bay Area Science and Innovation Consortium consisting of all Universities and Research Labs in the San Francisco Bay Area.

Rupa_Sarkar - AI Health World Summit 2025
Rupa_Sarkar - AI Health World Summit 2025

Dr Rupa Sarkar

Editor-in-Chief
The Lancet Digital Health
The Lancet Group

Dr. Rupa Sarkar is the founding Editor-in-Chief of The Lancet Digital Health. Since her appointment in November 2018, The Lancet Digital Health is the leading journal in the field of artificial intelligence (AI) and digital health, with a mission to advance standards for the next generation of health care technology.
Rupa is an experienced editor and scientist working across a broad range of subject areas. She has delivered seminars at over 30 conferences in the USA, China, Singapore, India, Europe, and UK. Her interests span all interdisciplinary areas of digital health, with a particular interest in genomics and AI in clinical applications. Rupa obtained her Ph.D. in embryonic stem cell development from Imperial College London, U.K. After her postdoctoral research at the Albert Einstein College of Medicine, NY, USA, Rupa joined the Nature Research Group. Prior to her appointment at The Lancet Digital Health, Rupa was the Chief Editor of Nature Protocols.

Highlights of 2023

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