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