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Perceptions of Artificial Intelligence in Gynecologic Oncology Education: Insights from a Qualitative Study Using
Jianye Wang1,2, Jiaqi Xu3, Zhaojing Fu1,2
1Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, China.
Summary
Artificial intelligence (AI) can enhance gynecologic oncology training by providing opportunities for deliberate practice and structured feedback. Responsible implementation requires addressing barriers and integrating AI with human mentorship for effective surgical education.
Area of Science:
- Medical Education
- Surgical Training
- Artificial Intelligence in Medicine
Background:
- Gynecologic oncology training faces limitations in case volume and expert supervision.
- Artificial intelligence (AI) offers potential solutions for simulation-based surgical education.
- Current training models struggle to provide sufficient repetitive practice opportunities.
Purpose of the Study:
- To explore perceptions of AI's role in gynecologic oncology education among faculty and trainees.
- To identify potential benefits and challenges of integrating AI into surgical training.
- To understand the conditions necessary for responsible AI implementation in medical education.
Main Methods:
- Qualitative study utilizing semi-structured interviews.
- Conducted with five gynecologic oncology faculty and ten postgraduate trainees.
- Data analyzed using inductive thematic analysis.
Main Results:
- Three key themes emerged: AI as a tool for practice/feedback, adoption barriers, and implementation conditions.
- Participants viewed AI-enhanced simulation as beneficial for risk-free rehearsal and objective assessment.
- Concerns included realism, cost, access, and data governance, with support for a hybrid model.
Conclusions:
- AI can augment gynecologic oncology education through enhanced simulation and feedback.
- Successful integration necessitates addressing ethical, infrastructural, and practical barriers.
- A hybrid model combining AI with human mentorship is favored for robust surgical training.