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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Advancing Mohs Micrographic Surgery Through Artificial Intelligence: A Provider's Implementation Guide.

Grace Herrick1, Zachary Grand2, Kelly Frasier3

  • 1Department of Medical Education, Alabama College of Osteopathic Medicine, Dothan, AL, USA.

Journal of Cutaneous Medicine and Surgery
|June 17, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) integration in Mohs micrographic surgery (MMS) enhances precision and patient outcomes. This review details AI applications, implementation strategies, and ethical considerations for advanced dermatological care.

Keywords:
Mohs micrographic surgeryartificial intelligencemachine learning in dermatologysurgical decision-making

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Area of Science:

  • Dermatological Surgery
  • Medical Artificial Intelligence

Background:

  • Mohs micrographic surgery (MMS) is a specialized technique for skin cancer removal.
  • Integrating artificial intelligence (AI) offers potential advancements in surgical procedures.

Purpose of the Study:

  • To review the current and emerging roles of AI in MMS.
  • To explore AI's impact on tumor margin identification, surgical precision, and tissue preservation.
  • To discuss AI's predictive capabilities for tumor complexity and patient outcomes.

Main Methods:

  • Comprehensive literature review of AI applications in MMS.
  • Analysis of AI's role in predictive modeling for patient care.
  • Examination of practical implementation, ethical, and legal aspects.

Main Results:

  • AI shows promise in improving tumor margin identification and surgical precision.
  • AI can aid in predicting tumor complexity and postoperative outcomes for personalized care.
  • Implementation requires addressing infrastructure, training, ethical, and financial factors.

Conclusions:

  • AI integration in MMS is a transformative advancement with significant potential.
  • Successful adoption necessitates careful consideration of clinical, ethical, and financial factors.
  • AI promises to enhance patient outcomes and healthcare provider efficiency in dermatological surgery.