Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Comparative Outcomes and Morphology Following Surgical Reconstruction for Mercedes Benz Craniosynostosis.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association·2026
Same author

Incidence of Velopharyngeal Insufficiency Surgery Following Orthognathic Surgery in Cleft Lip and Palate.

The Journal of craniofacial surgery·2026
Same author

Incidence of Psychological and Neurodevelopmental Disorders in Craniosynostosis.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association·2026
Same author

Craniofacial Symmetry Progression Following Strip Craniectomy Versus Fronto-Orbital Advancement in Unilateral Coronal Synostosis.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association·2026
Same author

Psychological and Neurodevelopmental Disorders in Cleft Lip and Palate.

The Journal of craniofacial surgery·2026
Same author

Comparative Morphologic Outcomes of Occipital Switch Cranioplasty With or Without Occipital Neo-Bandeau in Unilateral Lambdoid Synostosis.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association·2026

Related Experiment Video

Updated: May 14, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

743

Artificial Intelligence Applications in Pediatric Craniofacial Surgery.

Lucas M Harrison1, Ragan L Edison2, Rami R Hallac1,2

  • 1Department of Plastic Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Diagnostics (Basel, Switzerland)
|April 12, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing pediatric craniofacial surgery. AI enhances diagnosis, surgical precision, and patient care for conditions like craniosynostosis and cleft lip/palate.

Keywords:
AI-assisted diagnosiscleft lip and palatecraniofacial surgerycraniosynostosismachine learningmaxillofacial surgeryorthognathic surgeryplastic surgeryreconstructive surgerysurgical planning

More Related Videos

Analysis of Craniomaxillofacial Malformations in Mice Using Three-dimensional Microcomputed Tomography
02:42

Analysis of Craniomaxillofacial Malformations in Mice Using Three-dimensional Microcomputed Tomography

Published on: January 17, 2025

182
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.7K

Related Experiment Videos

Last Updated: May 14, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

743
Analysis of Craniomaxillofacial Malformations in Mice Using Three-dimensional Microcomputed Tomography
02:42

Analysis of Craniomaxillofacial Malformations in Mice Using Three-dimensional Microcomputed Tomography

Published on: January 17, 2025

182
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.7K

Area of Science:

  • Medical Technology
  • Computer Science
  • Pediatric Surgery

Background:

  • Pediatric craniofacial surgery involves complex diagnoses and treatments.
  • Congenital anomalies require precise surgical interventions and long-term care.
  • Advancements in AI offer new tools for medical imaging analysis and treatment planning.

Purpose of the Study:

  • To explore the transformative impact of artificial intelligence (AI) on pediatric craniofacial surgery.
  • To detail AI applications in diagnosis, surgical planning, and postoperative care.
  • To highlight AI's role in managing conditions like craniosynostosis and cleft lip and palate.

Main Methods:

  • Utilizing machine learning and deep learning models for craniofacial imaging analysis.
  • Applying AI algorithms for preoperative planning, outcome prediction, and treatment personalization.
  • Integrating AI in diagnostic assessments for various craniofacial anomalies.

Main Results:

  • AI improves early detection and classification of congenital anomalies (e.g., craniosynostosis, cleft lip and palate).
  • AI-driven tools enhance surgical planning, outcome prediction, and personalized treatment strategies.
  • AI applications extend to prenatal detection, severity assessment, speech evaluation, and intraoperative navigation.

Conclusions:

  • AI significantly enhances diagnostic accuracy and clinical decision-making in pediatric craniofacial surgery.
  • AI facilitates personalized treatment strategies and improves surgical precision.
  • AI holds substantial potential to advance evidence-based care in pediatric craniofacial surgery.