Specialized Artificial Intelligence Clinical Decision Support System for Aesthetic Surgery: Aesthetic Surgery Using Retrieval Augmentation (AURA)
In this study, the authors present AURA, the first specialized AI clinical decision support system for aesthetic surgery. This novel system effectively delivers relevant, accurate information across diverse aesthetic surgery domains based on peer-reviewed literature. AURA offers aesthetic surgeons an efficient, evidence-based resource for clinical decision support. Future development should focus on expanding knowledge sources and prospective clinical validation, with implementation emphasizing transparent source presentation to complement surgical expertise.
Authors
- Kavach Shah
- Eugene Pinsky (ORCID: https://orcid.org/0000-0002-3836-1851)
- Berk Barış Özmen (ORCID: https://orcid.org/0000-0001-7803-1868)
- Nishant Singh (ORCID: https://orcid.org/0000-0003-3368-1511)
- Raymond Isakov (ORCID: https://orcid.org/0009-0004-5077-8889)
- İbrahim Berber (ORCID: https://orcid.org/0000-0002-6618-8347)
- Nicholas R Sinclair (ORCID: https://orcid.org/0009-0005-9046-6924)
- Fouran Singh (ORCID: https://orcid.org/0000-0002-6167-7272)
- Graham S. Schwarz (ORCID: https://orcid.org/0009-0009-8553-6819)
Institutions
- Boston University (US)
- Cleveland Clinic (US)
- Case Western Reserve University (US)
Publication Details
- Journal
- Aesthetic Surgery Journal
- Published
- 2025-06-20
- DOI
- https://doi.org/10.1093/asj/sjaf120
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62