AccScience Publishing / HPR / Online First / DOI: 10.36922/HPR026280155
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COMMENTARY

Algorithmic expectancy effects in AI-mediated health promotion

MaoDa Teng1,2 ,  XiaoMing Zhou1,3*
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1 Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong , China
2 Linyi Central Hospital, Linyi, Shandong , China
3 Department of Research, Dongying People’s Hospital, Dongying, Shandong , China
Received: 9 July 2026 | Revised: 18 August 2026 | Accepted: 26 August 2026 | Published online: 12 November 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Funding
This work was supported by the 2024 Shandong Provincial Health Science and Technology Innovation Group Construction Project (2024-025) and the 2025 Dongying Municipal Joint Fund for High-Quality Development in Natural Sciences and Health (2025ZRWS043).
Conflict of interest
The author declares no competing interests.
References
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  2. Kosch T, Welsch R, Chuang LL, Schmidt A. The placebo effect of artificial intelligence in human-computer interaction. ACM Trans Comput Hum Interact. 2022;29(6):56. doi: 10.1145/3529225
  3. Pataranutaporn P, Liu R, Finn E, Maes P. Influencing human-AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness. Nat Mach Intell. 2023;5(10):1076-1086. doi: 10.1038/s42256-023-00720-7
  4. Qin X, Zhou X, Chen C, et al. AI aversion or appreciation? A capability-personalization framework and a meta-analytic review. Psychol Bull. 2025;151(5):580-599. doi: 10.1037/bul0000477
  5. Blease C. Placebo, nocebo, and machine learning: how generative AI could shape patient perception in mental health care. JMIR Ment Health. 2025;12:e78663. doi: 10.2196/78663
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Health Psychology Research, Electronic ISSN: 2420-8124 Published by AccScience Publishing