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Quality of Conventional versus Artificial Intelligence Oral Surgery Consent Forms: Comparative Analysis
Jan Gaessler1, Bernhard Remschmidt1, Ann-Kathrin Jopp2
1Division of Oral and Maxillofacial Surgery, Department of Dental Medicine and Oral Health, Medical University of Graz, Auenbruggerplatz 5/6, Graz, 8032, Austria, 43 316 385 83500.
Journal of Medical Internet Research
|January 6, 2026
Summary
Artificial intelligence (AI) improved oral surgery informed consent forms, showing better quality and readability than traditional web forms. However, both methods still need improvement to meet recommended patient comprehension standards.
Area of Science:
- Medical Informatics
- Oral Surgery
- Artificial Intelligence
Background:
- Informed consent is crucial for ethical oral surgery.
- Conventional web-based forms may have limitations in clarity and accessibility.
Purpose of the Study:
- To compare the quality and readability of AI-generated informed consent forms against conventional web-based forms for oral surgery.
- To assess the comprehension levels achieved by both types of forms.
Main Methods:
- Development of AI-generated informed consent forms.
- Comparison with existing web-based forms using quality and readability metrics.
- Evaluation of patient comprehension levels.
Main Results:
- AI-generated forms exhibited superior quality and readability compared to conventional web-based forms.
- Both AI-generated and conventional forms did not meet the recommended benchmarks for patient comprehension.
Conclusions:
- AI holds promise for enhancing the clarity of oral surgery informed consent.
- Further research is needed to optimize AI tools for achieving adequate patient understanding.
