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

Knowledge Translation and Implementation Science (584) E-Health Policy and Health Systems Innovation (373) Demographics of Users, Social & Digital Divide (981) Digital Health, Telehealth and e-Innovation in Clinical Settings (588) Adoption and Change Management of eHealth Systems (968) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (757) Focus Groups and Qualitative Research for Human Factors Research (1326) Artificial Intelligence (2395) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (209) Applications of AI (357)

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 (8) Tweetations Metrics

Journals

  1. Su J, Tie X, Wei Y, Zhou R, Zou T, Qin Y, Zeng X, Li Y, Yin W. Critical care ultrasound: development, evolution, current and evolving clinical concepts in critical care medicine. Frontiers in Medicine 2025;12 View
  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;1(2) 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
  5. Nguyen N, Tran P. Teaching the machine to heal in Vietnam. AI & SOCIETY 2025 View
  6. Wiputra R, Benjaminsz C, Loria A, Widjaya R, Rudy , Chowanda A. Indonesian pharmaceutical dataset for self-medication. Data in Brief 2026;65:112460 View
  7. Bold B, Tokuda B, Kashif M, Fadzli F, Wee N, Kanwal U, Nguyễn T, Wah N. Radiologists’ perceived value and readiness for artificial intelligence in value-based radiology: a multicountry survey. Japanese Journal of Radiology 2026 View

Conference Proceedings

  1. Judijanto L, Nurhayati S. 2026 6th International Conference on Image Processing and Capsule Networks (ICIPCN). Overcoming Barriers to Health Informatics Adoption: A Systematic Literature Review of Resistance and Integration in Telemedicine View