Applications of Artificial Intelligence for Facial Aesthetic Surgery: a Systematic Review
Artificial intelligence (AI) offers opportunities to improve assessment, visualization, and communication in facial aesthetic surgery; however, its clinical reliability remains uncertain. This study aimed to synthesize contemporary evidence on AI applications, performance, methodological quality, and clinical relevance in facial aesthetic surgery. A systematic review conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines searched PubMed/MEDLIN…
AI systems in facial aesthetic surgery quantified postoperative changes in perceived age and facial morphology, generated realistic surgical visualizations, and gave comprehensible patient education responses.
Realistic visuals did not prove patient-specific predictive accuracy, better computation did not necessarily raise patient satisfaction, and five of eleven studies carried a high risk of bias.
Evidence is limited by heterogeneous methods, limited external validation, proprietary algorithms, potential demographic bias, and high or concerning risk of bias in all eleven included studies.
Evidence
- Peer-reviewedInternational Journal of Social Health2026-10-14
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Truvace Impact Record TRV-2026-1410, v1: “Applications of Artificial Intelligence for Facial Aesthetic Surgery: a Systematic Review.” Truvace, 2026-10-15. /record/TRV-2026-1410 (accessed at citation time). sha256 704914b858620956…
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