Development of a prognostic prediction model and visualization system for autologous costal cartilage rhinoplasty: an automated machine learning approach
This study establishes the first AutoML-driven prognostic framework for ACCR, effectively bridging the gap between surgical precision and patient-reported outcomes. Its integration of dynamic risk prediction and explainable AI offers a paradigm for aesthetic surgical decision-making.
Authors
- Yang Zhao (ORCID: https://orcid.org/0000-0002-4032-8049)
- XU Nan-nan
- Aihemaitijiang Niyazi
- Tilimanjiang Tuohuti
- Dawuli Shalimujiang
Institutions
- Xinjiang Medical University (CN)
- First Affiliated Hospital of Xinjiang Medical University (CN)
- People 's Liberation Army 451 Hospital (CN)
- Aesthetic Surgery Center (US)
- Xijing Hospital (CN)
Publication Details
- Journal
- Frontiers in Surgery
- Published
- 2025-10-02
- DOI
- https://doi.org/10.3389/fsurg.2025.1594514
- Primary Topic
- Nasal Surgery and Airway Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00