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Integrating AI into Breast Reconstruction Surgery: Exploring Opportunities, Applications, and Challenges.
Andrew Gorgy1, Hong Hao Xu2, Hassan El Hawary1
1Department of Plastic and Reconstructive Surgery, McGill University Health Center, Montreal, Quebec, Canada.
Plastic Surgery (Oakville, Ont.)
|November 15, 2024
Summary
Artificial intelligence (AI) enhances breast reconstruction surgery by improving preoperative planning, intraoperative precision, and postoperative care. Further research is needed to address privacy and cost concerns for wider AI implementation.
Area of Science:
- Medical Technology
- Computer Science
- Plastic Surgery
Background:
- Artificial intelligence (AI) is transforming healthcare by augmenting human capabilities.
- AI integration in surgery offers potential for improved clinical quality and resource optimization.
- This study focuses on AI applications in reconstructive breast surgery.
Purpose of the Study:
- To explore current and future applications of AI in breast plastic and reconstructive surgery.
- To identify AI's role across different phases of breast reconstruction: preoperative, intraoperative, and postoperative.
- To encourage further research and development in AI for breast reconstruction.
Main Methods:
- Systematic reviews of PubMed, Web of Science, and Google Scholar.
- Keywords included AI subdisciplines: machine learning, computer vision, natural language processing, and robotics.
- Studies analyzed AI applications in preoperative, intraoperative, postoperative, and academic settings.
Main Results:
- Preoperatively, AI predicts risks and aids patient counseling.
- Intraoperatively, AI assists with landmark identification, dissection, and 3D visualization; robotics show promise.
- Postoperatively, AI optimizes discharge and follow-up; academically, it aids training and research.
Conclusions:
- AI offers significant benefits and potential in breast plastic and reconstructive surgery.
- Concerns regarding privacy, cost, and efficacy require critical examination.
- Consolidating knowledge and encouraging R&D will empower responsible AI adoption in breast reconstruction.

