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Artificial Intelligence in Oral and Maxillofacial Surgery: Integrating Clinical Innovation and Workflow Optimization.

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Artificial intelligence (AI) enhances oral and maxillofacial surgery (OMFS) by improving diagnostics, surgical planning, and patient communication. Responsible adoption requires validation, training, and focus on cost-effectiveness for optimal integration.

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Area of Science:

  • Oral and Maxillofacial Surgery (OMFS)
  • Artificial Intelligence (AI) in Healthcare
  • Surgical Technology

Background:

  • AI integration in OMFS is rapidly evolving.
  • Current applications span clinical and operational domains.
  • Evidence and validation status require critical appraisal.

Purpose of the Study:

  • To synthesize and appraise AI integration in OMFS.
  • To map clinical (diagnostics, planning, guidance) and operational (triage, scheduling, communication) uses.
  • To provide practice-oriented guidance for AI adoption.

Main Methods:

  • Narrative literature review.
  • Expert analysis.
  • Multicenter implementation data from OMFS practice.

Main Results:

  • AI shows high performance in radiographic analysis and virtual planning (up to 96% accuracy).
  • Clinical benefits include shorter planning times, efficient communication, increased bookings, and reduced administrative burden.
  • Challenges include data quality, explainability, and limited validation, necessitating clinician oversight.

Conclusions:

  • AI offers significant benefits across the OMFS care continuum.
  • Responsible adoption hinges on transparent validation, data governance, and targeted training.
  • Priorities include standardized outcome reporting and multicenter studies to ensure AI augments human-centered care.