Collection 

Exploring the impact of governance models in AI and digital health on healthcare

Submission status
Open
Submission deadline

This collection delves into the role of Artificial Intelligence (AI) and digital governance within healthcare systems. As AI and digital health technologies evolve, so too does the necessity for robust governance frameworks to ensure ethical, secure, and effective implementation. We welcome submission of original research Articles, Reviews, Comments, and Perspectives that shed light on governance developments, regulatory challenges, and the potential for AI to reshape health delivery and policy. By examining diverse perspectives, this collection aims to illuminate the opportunities and challenges posed by latest advancements such as generative AI and large language models to foster a nuanced understanding of AI and digital health's future and its implications on health systems, emphasizing the balance between innovation and patient safety.

This Collection supports and amplifies research related to SDG 3 and SDG 16.

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Editors

  • Girish N. Nadkarni, MD, MPH

    Director, The Charles Bronfman Institute of Personalized Medicine; System Chief, Division of Data-Driven and Digital Medicine (D3M); The Irene and Dr. Arthur Fishberg Professor of Medicine; The Icahn School of Medicine at Mount Sinai and the Mount Sinai Health System, New York, USA.

  • Yuan Luo, PhD

    Feinberg School of Medicine, Northwestern University Chicago, IL, USA

Girish N. Nadkarni, MD, MPH 

Director, The Charles Bronfman Institute of Personalized Medicine

System Chief, Division of Data-Driven and Digital Medicine (D3M)

The Irene and Dr. Arthur Fishberg Professor of Medicine

The Icahn School of Medicine at Mount Sinai and the Mount Sinai Health System

New York, USA

Dr. Girish N. Nadkarni is the Fishberg Professor in Medicine at the Icahn School of Medicine at Mount Sinai. He is also the Chief of the Division of Data Driven and Digital Medicine (D3M) and the Director of the Charles Bronfman Institute of Personalized Medicine. He received training in Mathematics before completing his medical degree at one of the top-ranked medical colleges in India. He then received a Master’s in Public Health at the Johns Hopkins Bloomberg School of Public Health in Baltimore, MD, and then was a Research Associate at the Johns Hopkins Medical Institute. Dr. Nadkarni completed his residency in Internal Medicine and a clinical fellowship in Nephrology at the Icahn School of Medicine at Mount Sinai. He then completed a research fellowship in Personalized Medicine at the Charles Bronfman Institute of Personalized Medicine. Dr. Nadkarni has authored over 300 peer-reviewed scientific publications including ones in the New England Journal of Medicine, Journal of American Medical Association, Annals of Internal Medicine, The Lancet and Nature Medicine. He has received many awards including the best outgoing senior resident award, Dr. Harold and Golden Lamport research award, the ANIO rising star award and the Deal of the Year award at Sinai Innovations. He is the principal investigator for several NIH funded grants. Dr. Nadkarni is also the scientific co-founder of several investor-backed companies, two of which are publicly traded.

 

Yuan Luo, PhD, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA

Dr. Luo is Chief AI Officer at Clinical and Translational Sciences Institute (NUCATS) and Institute for AI in Medicine, and Associate Professor at Department of Preventive Medicine, at Feinberg School of Medicine in Northwestern University. Globally recognized for his leadership and significant contributions to biomedical AI, Dr. Luo has earned the prestigious titles including Fellow of the International Academy of Health Sciences Informatics (IAHSI), Fellow of the American College of Medical Informatics (ACMI) and Fellow of the American Medical Informatics Association (AMIA).

A visionary leader in the field, Dr. Luo is at the forefront of building next-generation informatics and collaborative AI within the healthcare enterprise. His exemplary leadership shapes strategies across various levels, ranging from university settings to entire health systems to national research consortia. With a commitment to democratizing AI literacy, Dr. Luo has been featured in eminent venues such as The Economist, JAMA Network and Becker's Hospital Review to share unique visions on delivering data and AI strategies that power Research & Development and drive business value.

As a pioneer in the development of multi-modal AI and data science frameworks, Dr. Luo's work focuses on understanding complex diseases and informing targeted therapies. His groundbreaking research has been featured in leading journals, including JAMA, Nature Medicine, and Nature Biotechnology. Dr. Luo has given numerous keynotes to both academia and industry and has chaired multiple conferences and workshops. With a publication record of over 170 peer-reviewed papers, Dr. Luo's work has been cited by scientists across more than 30 different countries and 25 research areas.