A Comprehensive 3D Look into Male and Female Facial Skeletons: AI-Assisted Analysis of 280 CT Scans
This represents the first large-sample CT study utilizing AI to comprehensively quantify facial skeletal dimorphism. Findings support the importance of gender-specific planning in facial reconstructive and aesthetic procedures.
Authors
- Basel Sharaf (ORCID: https://orcid.org/0000-0001-8584-2220)
- Jess D. Rames (ORCID: https://orcid.org/0000-0001-9336-8231)
- Abdallah A. Shehab (ORCID: https://orcid.org/0009-0009-9944-9601)
- Jonathan M. Morris (ORCID: https://orcid.org/0000-0003-3368-4632)
- S.H. Hussein
- Alexandre Meira Pazelli
- Christian R. Hanson
- Erick O. Martinez
Institutions
- Mayo Clinic (US)
- WinnMed (US)
Publication Details
- Journal
- Plastic & Reconstructive Surgery
- Published
- 2026-02-12
- DOI
- https://doi.org/10.1097/prs.0000000000012920
- Primary Topic
- Facial Rejuvenation and Surgery Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00