The Rise of Artificial Intelligence in Thai Medicine: A New Era of Possibilities

Authors

  • Surasak Sangkathat Department of Surgery, and Department of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand.

DOI:

https://doi.org/10.31584/psumj.2024273312

Keywords:

Artificial intelligence

References

Ruamviboonsuk P, Tiwari R, Sayres R, Nganthavee V, Hemarat K, Kongprayoon A, et al. Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study. Lancet Digit Health 2022;4:e235-44.

Puengpreeda A, Yhusumrarn S, Sirikulvadhana S. “Weekly Forecasting Model for Dengue Hemorrhagic Fever Outbreak in Thailand”. Eng J 2020:24;71-87.

Ministry of Public Health. Digital health strategy (2021-2025) [monograph on the Internet]. Nonthaburi: Ministry of Public Health [cited 2024 Jul] Available from: https://ict.moph.go.th/upload_file/files/263bec94c161efb9d61d3b1116dee9a4.pdf

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Published

2024-08-23

How to Cite

1.
Sangkathat S. The Rise of Artificial Intelligence in Thai Medicine: A New Era of Possibilities. PSU Med J [Internet]. 2024 Aug. 23 [cited 2024 Nov. 20];4(2):59-60. Available from: https://he01.tci-thaijo.org/index.php/PSUMJ/article/view/273312

Issue

Vol. 4 No. 2 (2024): May-Aug

Section

Editorial

License

Copyright (c) 2024 Author and Journal

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.