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

Knowledge Translation and Implementation Science (513) Artificial Intelligence (2129) Digital Health, Telehealth and e-Innovation in Clinical Settings (556) Adoption and Change Management of eHealth Systems (894) E-Health Policy and Health Systems Innovation (341) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (717) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (186) Demographics of Users, Social & Digital Divide (914) Focus Groups and Qualitative Research for Human Factors Research (1220) Applications of AI (287)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71591, first published .
Insights Into the Current and Future State of AI Adoption Within Health Systems in Southeast Asia: Cross-Sectional Qualitative Study

Insights Into the Current and Future State of AI Adoption Within Health Systems in Southeast Asia: Cross-Sectional Qualitative Study

Insights Into the Current and Future State of AI Adoption Within Health Systems in Southeast Asia: Cross-Sectional Qualitative Study

Authors of this article:

Mochammad Fadjar Wibowo1 Author Orcid Image ;   Alexandra Pyle2 Author Orcid Image ;   Emma Lim3 Author Orcid Image ;   Joshua W Ohde4 Author Orcid Image ;   Nan Liu5 Author Orcid Image ;   Jonas Karlström1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

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  2. Zai K, Mukti A, Notty G, Niswah S, Refliandi , Oktivendra F. Artificial intelligence in the non-clinical laboratory: enhancing good laboratory and documentation practices. International Journal of Pharmaceutics 2025;685:126266 View
  3. Wang J, Lin A, Huang Y, Li G, Chen T, Sun C, Qian W, Ren S, Wong H, Ding Y, Zhang L. Medical Data as a Key Asset in the Digital Health Era: A Framework for Challenges and Strategies. iMetaMed 2025 View
  4. Kristiani N, Haryanto B, Wahyudi L, Setiawan A. User readiness and technology adoption in AI-driven smart cities: a systematic review of generative and predictive models for advancing the SDGs. Digital Transformation and Society 2025:1 View