Guidelines and Checklists for Artificial Intelligence (AI) in Surgical Education Research: A Comprehensive Narrative...

Area of Science:

• Medical Education Research
• Artificial Intelligence in Healthcare
• Research Methodology

Background:

• Artificial intelligence (AI) is increasingly utilized in clinical and healthcare research.
• Existing research guidelines for AI in healthcare necessitate evaluation for surgical education applications.
• AI's application in surgical education research requires assessment of current guideline relevance.

Purpose of the Study:

• To synthesize existing guidelines and checklists for AI in surgical education research.
• To provide researchers with a roadmap for conducting rigorous AI studies in surgical education.
• To identify gaps for future framework development in AI surgical education research.

Main Methods:

• A narrative review of guidelines and checklists related to AI in healthcare and surgical education was conducted.
• Searches were performed in Ovid (Embase, MEDLINE) from 1946 to 2024 using terms for AI, checklists, recommendations, and guidelines.
• Eligible full-text articles were reviewed through consensus discussions.

Main Results:

• 16 guidelines and checklists were included from 200 identified studies.
• Included resources covered AI in health education, generative AI, machine learning, and AI in imaging.
• Gaps were identified in guidelines specific to surgical education, with limited tailored resources available.

Conclusions:

• Existing AI research guidelines offer partial applicability to surgical education contexts.
• Significant gaps persist in education-specific AI research guidance.
• Developing tailored guidelines is crucial for addressing AI integration challenges in surgical education.