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This paper is in the following e-collection/theme issue:

Artificial Intelligence (4765) Clinical Informatics (2266) E-Health Policy and Health Systems Innovation (523) Clinical Information and Decision Making (3700) Demographics of Users, Social & Digital Divide (1295) Adoption and Change Management of eHealth Systems (1117)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/96231, first published .
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AI Adoption in US Cancer Centers: National Cross-Sectional Study of Institutional and Policy Determinants

AI Adoption in US Cancer Centers: National Cross-Sectional Study of Institutional and Policy Determinants

Authors of this article:

Jingjing Gao1 Author Orcid Image ;   Muinat Abolore Idris2 Author Orcid Image ;   Eric C Jones3 Author Orcid Image ;   Louis D Brown3 ;   Jack Tsai3, 4 Author Orcid Image
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Jingjing Gao   1 , PhD ;   Muinat Abolore Idris   2 , PhD ;   Eric C Jones   3 , PhD ;   Louis D Brown   3 , PhD ;   Jack Tsai   3, 4 , PhD

1 Department of Management, Policy and Community Health, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States

2 Department of Environmental & Occupational Health Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States

3 School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States

4 Department of Psychiatry, Yale University, New Haven, CT, United States

Corresponding Author:

  • Jingjing Gao, PhD
  • Department of Management, Policy and Community Health, School of Public Health
  • The University of Texas Health Science Center at Houston
  • 7000 Fannin Street
  • Houston, TX 77225
  • United States
  • Phone: 1 9802136680
  • Email: Jingjing.Gao@uth.tmc.edu