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...
Saved in:
| Main Authors: | , |
|---|---|
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|---|
| ISSN: | 1002-0772 |