Knoedler, Leonard and Hoch, Cosima C. and Knoedler, Samuel and Klimitz, Felix J. and Schaschinger, Thomas and Niederegger, Tobias and Heiland, Max and Koerdt, Steffen and Pooth, Rainer and Kauke-Navarro, Martin and Lellouch, Alexandre G. (2025) Objectifying aesthetic outcomes following face transplantation-the AI research metrics model (CAARISMA ® ARMM). JOURNAL OF STOMATOLOGY ORAL AND MAXILLOFACIAL SURGERY, 126 (6): 102277. ISSN 2468-8509, 2468-7855
Full text not available from this repository. (Request a copy)Abstract
Background: Face transplantation (FT) offers a reconstructive option for patients with severe facial disfigurements by restoring both function and appearance. Aesthetic outcomes, which are crucial to psychological well-being and social reintegration, have historically been evaluated subjectively. This study introduces the AI Research Metrics Model (CAARISMA (R) ARMM), a machine learning-based medical device designed to objectively assess aesthetic outcomes in FT patients. Methods: Overall, 14 FT patients were analyzed using CAARISMA (R) ARMM, which evaluates 3 key aesthetic indices: the Facial Youthfulness Index (FYI), Facial Aesthetic Index (FAI), and Skin Quality Index (SQI). Preoperative, postoperative, and pre-trauma images were processed to assess improvements in facial aesthetics. Statistical analysis was performed to compare changes in these indices across the different time points. Results: Postoperative scores for FYI, FAI, and SQI were significantly higher than preoperative scores (p < 0.0001), indicating substantial aesthetic improvements. No significant differences were found between postoperative and pre-trauma images, suggesting that FT can effectively restore a patient's pre-injury appearance. Aesthetic improvements were consistent across different age and gender groups, with no notable disparities in outcomes. Conclusion: CAARISMA (R) ARMM offers a reliable and objective framework for objectifying aesthetic outcomes following FT, allowing for more standardized assessments. This medical device can potentially improve patient-surgeon communication, enhance surgical planning, and serve as a benchmark for evaluating longterm aesthetic success in FT patients. Future research should focus on expanding CAARISMA (R) ARMM's application to larger and more diverse patient populations.<br /> (c) 2025 The Author(s). Published by Elsevier Masson SAS. This is an open access article under the CC BY license )
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ; Face transplantation; Facial transplantation; Vascularized composite allotransplantation; VCA; Artificial intelligence |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Chirurgie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 23 Apr 2026 11:55 |
| Last Modified: | 23 Apr 2026 11:55 |
| URI: | https://pred.uni-regensburg.de/id/eprint/67552 |
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