Editorial Board

A nonprofit academic publication guiding the future of AI in Medicine

Advisory Board

Roberta Schwartz, Ph.D., MHS

Senior Advisory Board Member
Executive VP & Chief Innovation Officer
Houston Methodist Hospital

Aalpen Patel, M.D., MBA, FSIR

Advisory Board Member
Chief Clinical and Innovation Officer
MedQuest Imaging

Editor-in-Chief

Joshua Robert, M.D./M.Eng. (Candidate)

Founding Editor-in-Chief
TAMU School of Engineering Medicine (EnMed)
Houston Methodist Hospital

Deputy Editors

T. Dorina Papageorgiou Ph.D., M.H.Sc., FAAN

Deputy Editor
Faculty Member, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine
View full title and appointment list

Assistant Professor of Psychiatry, Neuroscience, and Physical Medicine and Rehabilitation

PI, Investigational Targeted Brain Neurotherapeutics Laboratory

AI Contributor - Medical Research & Healthcare, United States AI Safety Institute & Compliance, National Institute of Standards & Technology

Adjunct Assistant Professor, Electrical & Computer Engineering and Neuroengineering Research Initiative, Rice University

Associate Editors

Saaim Khan, M.D. (Candidate)

Associate Editor
M.D. Candidate, Harvard Medical School
Researcher, Boston Children's Hospital

Arnav Garyali, M.D. (Candidate)

Associate Editor
M.D. Candidate, Baylor College of Medicine
Research Fellow, Sheth Lab

Erik Williams, M.D. (Candidate)

Associate Editor
M.D. Candidate, Columbia University VP&S
Venture Fellow, Angelini Ventures

Arjun Aron, M.D. (Candidate)

Associate Editor
M.D. Candidate, Yale School of Medicine
Orthopedic Res. Coord., Keck School of Medicine

[Call for Editors]

Associate Editor (Clinical AI)
We are currently accepting applications for board positions.

Institutional Governance

JAIM is an official publication of the Foundation for Artificial Intelligence in Medicine (FAIM), a 501(c)(3) tax-exempt nonprofit organization. Donations are tax-deductible to the extent permitted by law.

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JAIM is actively recruiting associate editors and reviewers with expertise in clinical medicine, machine learning, and medical ethics.

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