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Artificial Intelligence in Breast Reconstruction: A Narrative Review.

Andrei Iulian Rugină1, Andreea Ungureanu1, Carmen Giuglea2

  • 1Department of Plastic and Reconstructive Surgery, "Bagdasar-Arseni" Emergency Hospital, University of Medicine and Pharmacy "Carol Davila", Blvd. Eroii Sanitari Nr. 8, Sector 5, 050474 Bucharest, Romania.

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Summary

Artificial intelligence (AI) enhances breast reconstruction by improving surgical planning and precision. While challenges exist, AI promises better patient outcomes and quality of life after mastectomy.

Keywords:
artificial intelligenceaugmented realitybreast reconstructiondeep learningmachine learningmicrosurgery/artificial intelligencerobotic surgeryvirtual reality

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Area of Science:

  • Medical technology
  • Surgical innovation
  • Oncology

Background:

  • Breast reconstruction is crucial for patient quality of life post-mastectomy.
  • Artificial intelligence (AI) is increasingly integrated into medical applications.
  • AI offers potential advancements across surgical planning, intraoperative guidance, and patient care.

Purpose of the Study:

  • To review current and potential applications of AI in breast reconstruction.
  • To highlight AI's role in improving surgical outcomes and patient well-being.
  • To identify challenges and future directions for AI in this field.

Main Methods:

  • Literature review of recent studies on AI in breast reconstruction.
  • Analysis of AI's impact on imaging, surgical planning, and complication prediction.
  • Examination of AI's role in postoperative monitoring and patient management.

Main Results:

  • AI shows promise in enhancing tumor detection imaging and surgical planning.
  • AI can improve microsurgical precision and predict potential complications like flap failure.
  • AI facilitates optimized postoperative monitoring and patient care.

Conclusions:

  • AI has significant potential to revolutionize breast reconstruction techniques and outcomes.
  • Addressing challenges in data quality, safety, and clinical integration is crucial for AI adoption.
  • Continued research and clinical trials will expand AI's benefits for patients and healthcare providers.