The Impacts of Medical Artificial Intelligence to Doctor's Professional Autonomy: Challenges and Countermeasures

In the new medical model of "machine-doctor-patient" constructed by the medical artificial intelligence (AI) prediction models, the "independent judgment" and "independent learning" of some doctors will be affected, that is, the authority in medical diagnosis, treatment...

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Main Authors: Yuqi KANG, Xiaosong HE
Format: Article
Language:Chinese
Published: Editorial Office of Medicine and Philosophy 2025-05-01
Series:Yixue yu zhexue
Subjects:
Online Access:https://yizhe.dmu.edu.cn/article/doi/10.12014/j.issn.1002-0772.2025.09.04
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author Yuqi KANG
Xiaosong HE
author_facet Yuqi KANG
Xiaosong HE
author_sort Yuqi KANG
collection DOAJ
description In the new medical model of "machine-doctor-patient" constructed by the medical artificial intelligence (AI) prediction models, the "independent judgment" and "independent learning" of some doctors will be affected, that is, the authority in medical diagnosis, treatment decision-making, and independent learning will be dissolved, and may even affect the autonomy of patients. This paper proposes three improvement pathways: human-machine cooperation reconstruction, human-machine relationship reconstruction, and embedded shared decision-making in clinical practice. These approaches aim to enhance physicians' professional autonomy and promote a constructive human-AI collaborative relationship. The goal is to both safeguard physicians' professional value and improve the intelligence and humanization of healthcare services, ultimately advancing smart healthcare toward a higher level of collaborative governance.
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spelling doaj-art-74a70a93c9bd4a07b7c682316863e4f62025-07-14T06:43:10ZzhoEditorial Office of Medicine and PhilosophyYixue yu zhexue1002-07722025-05-01469182310.12014/j.issn.1002-0772.2025.09.049-kangyuqiThe Impacts of Medical Artificial Intelligence to Doctor's Professional Autonomy: Challenges and CountermeasuresYuqi KANG0Xiaosong HE1School of Humanities and Social Sciences, University of Science and Technology of China, Hefei 230026, ChinaSchool of Humanities and Social Sciences, University of Science and Technology of China, Hefei 230026, ChinaIn the new medical model of "machine-doctor-patient" constructed by the medical artificial intelligence (AI) prediction models, the "independent judgment" and "independent learning" of some doctors will be affected, that is, the authority in medical diagnosis, treatment decision-making, and independent learning will be dissolved, and may even affect the autonomy of patients. This paper proposes three improvement pathways: human-machine cooperation reconstruction, human-machine relationship reconstruction, and embedded shared decision-making in clinical practice. These approaches aim to enhance physicians' professional autonomy and promote a constructive human-AI collaborative relationship. The goal is to both safeguard physicians' professional value and improve the intelligence and humanization of healthcare services, ultimately advancing smart healthcare toward a higher level of collaborative governance.https://yizhe.dmu.edu.cn/article/doi/10.12014/j.issn.1002-0772.2025.09.04professional autonomy of doctorsmedical artificial intelligence prediction modelmedical artificial intelligencemedical ethics
spellingShingle Yuqi KANG
Xiaosong HE
The Impacts of Medical Artificial Intelligence to Doctor's Professional Autonomy: Challenges and Countermeasures
Yixue yu zhexue
professional autonomy of doctors
medical artificial intelligence prediction model
medical artificial intelligence
medical ethics
title The Impacts of Medical Artificial Intelligence to Doctor's Professional Autonomy: Challenges and Countermeasures
title_full The Impacts of Medical Artificial Intelligence to Doctor's Professional Autonomy: Challenges and Countermeasures
title_fullStr The Impacts of Medical Artificial Intelligence to Doctor's Professional Autonomy: Challenges and Countermeasures
title_full_unstemmed The Impacts of Medical Artificial Intelligence to Doctor's Professional Autonomy: Challenges and Countermeasures
title_short The Impacts of Medical Artificial Intelligence to Doctor's Professional Autonomy: Challenges and Countermeasures
title_sort impacts of medical artificial intelligence to doctor s professional autonomy challenges and countermeasures
topic professional autonomy of doctors
medical artificial intelligence prediction model
medical artificial intelligence
medical ethics
url https://yizhe.dmu.edu.cn/article/doi/10.12014/j.issn.1002-0772.2025.09.04
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