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12th Edition of International Conference on Dentistry
and Oral Health

September 28-30 | London, UK

September 28-30, 2026 | London, UK
ICDO 2026

Utilising Artificial Intelligence (AI) systems to enhance the consenting journey of orthognathic patients

Ibrahim Rana, Speaker at Oral Health Conferences
Cwm Taf Morgannwg University Health Board, United Kingdom
Title: Utilising Artificial Intelligence (AI) systems to enhance the consenting journey of orthognathic patients

Abstract:

Aim: To enhance patient understanding of the orthognathic surgery consent process, using an AI-generated educational video.
Background: Digital education is transforming how patients access and understand healthcare information. This project demonstrates how AI can support the consent process by transforming traditional patient information leaflets into engaging, visually intuitive educational content. A meta-analysis by Galmarini et al. found that video-based education significantly improves patient comprehension compared with written information (k = 5, Hedges’ g = 0.65, 95% CI, [0.48, 0.82], p < 0.001).1 This is particularly relevant to orthognathic patients, who are required to understand complex surgical procedures and their potential risks and benefits before providing informed consent.
Methods: An AI-driven, multimodal workflow was developed to transform an orthognathic surgery patient information leaflet into a dynamic educational video. ChatGPT was utilised to refine the educational script with a focus on patient comprehension. Gemini and Nano Banana generated illustrations for surgical procedures and common postoperative risks, such as facial swelling. Midjourney was used to design animation-styled avatars, which were subsequently integrated into the final video using the HeyGen platform
Results: An AI-generated patient education video was developed covering the orthognathic treatment pathway from planning through to surgery and recovery. The video is currently being prepared for implementation with patients undergoing orthognathic treatment. Thematic analysis of patient and staff feedback is ongoing to explore its perceived usefulness and impact on the consenting process.
Conclusion: This project demonstrates the potential of multimodal AI to transform complex clinical information into engaging, patient-centred educational content. By complementing clinician-led discussions, AI-generated resources may offer a novel approach to supporting understanding throughout the orthognathic consent journey.

Biography:

Ibrahim Rana is a Dental Core Trainee with experience in Oral and Maxillofacial Surgery (OMFS) and Paediatric Dentistry, with a strong interest in orthodontics. He will undertake a DCT2 post incorporating orthodontics and OMFS at Morriston Hospital, Swansea, the main cleft palate centre in Wales. Ibrahim has a strong interest in quality improvement and research and healthcare innovation, particularly the use of artificial intelligence to enhance patient education. He is also developing his leadership experience through the British Dental Association, helping organise educational events and representing the views of the dental profession.

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