Leveraging artificial intelligence in craniofacial surgery: From clinical practice to operational efficiency

The rapid advancement of artificial intelligence (AI) is transforming craniofacial surgery by significantly enhancing clinical and administrative workflows. AI-driven technologies improve diagnostic accuracy through rapid screening and classification of craniofacial anomalies while achieving excellent diagnostic precision rates. Integration of AI with 3D imaging, digital scanning, and printing facilitates personalized surgical planning, streamlines procedures, and increases clinical accuracy. Platforms are now able to automate intraoperative documentation, effectively reducing manual errors and operational inefficiencies. Despite regulatory and ethical challenges, craniofacial surgery is particularly poised to lead AI adoption due to its intricate procedures and extensive use of implants. Strategic integration of AI promotes operational productivity, improves patient outcomes, and sets new industry standards. Embracing AI represents a substantial advancement, reshaping the future landscape of craniofacial surgery.

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Publication Details

Journal
FACE
Published
2025-10-14
DOI
https://doi.org/10.1177/27325016251384501
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging artificial intelligence in craniofacial surgery: From clinical practice to operational efficiency

Raymond Harshbarger, Idean Roohani, Jeffrey A. Hammoudeh, Bonnie L. Padwa
FACE
Artificial Intelligence in Healthcare and Education
article

Leveraging artificial intelligence in craniofacial surgery: From clinical practice to operational efficiency

Raymond Harshbarger, Idean Roohani, Jeffrey A. Hammoudeh, Bonnie L. Padwa
article en

Abstract

The rapid advancement of artificial intelligence (AI) is transforming craniofacial surgery by significantly enhancing clinical and administrative workflows. AI-driven technologies improve diagnostic accuracy through rapid screening and classification of craniofacial anomalies while achieving excellent diagnostic precision rates. Integration of AI with 3D imaging, digital scanning, and printing facilitates personalized surgical planning, streamlines procedures, and increases clinical accuracy. Platforms are now able to automate intraoperative documentation, effectively reducing manual errors and operational inefficiencies. Despite regulatory and ethical challenges, craniofacial surgery is particularly poised to lead AI adoption due to its intricate procedures and extensive use of implants. Strategic integration of AI promotes operational productivity, improves patient outcomes, and sets new industry standards. Embracing AI represents a substantial advancement, reshaping the future landscape of craniofacial surgery.

FACEVol. 6(4)
University of Southern California (US), Boston Children's Hospital (US), Harvard University (US), Dell Children's Medical Center of Central Texas (US)
Openalex Percentile: Top 79%
Artificial Intelligence in Healthcare and Education
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Leveraging artificial intelligence in craniofacial surgery: From clinical practice to operational efficiency — Raymond Harshbarger, Idean Roohani, et al. · FACE (2025) | TGRS Research Map | TGRS