Seth Ishith, Bulloch Gabriella, Joseph Konrad, Hunter-Smith David J, Rozen Warren Matthew
Department of Plastic Surgery, Peninsula Health, Melbourne, VIC 3199, Australia.
Faculty of Medicine, The University of Melbourne, Melbourne, VIC 3053, Australia.
J Clin Med. 2023 Aug 6;12(15):5143. doi: 10.3390/jcm12155143.
Breast reconstruction is a pivotal part of the recuperation process following a mastectomy and aims to restore both the physical aesthetic and emotional well-being of breast cancer survivors. In recent years, artificial intelligence (AI) has emerged as a revolutionary technology across numerous medical disciplines. This narrative review of the current literature and evidence analysis explores the role of AI in the domain of breast reconstruction, outlining its potential to refine surgical procedures, enhance outcomes, and streamline decision making.
A systematic search on Medline (via PubMed), Cochrane Library, Web of Science, Google Scholar, Clinical Trials, and Embase databases from January 1901 to June 2023 was conducted.
By meticulously evaluating a selection of recent studies and engaging with inherent challenges and prospective trajectories, this review spotlights the promising role AI plays in advancing the techniques of breast reconstruction. However, issues concerning data quality, privacy, and ethical considerations pose hurdles to the seamless integration of AI in the medical field.
The future research agenda comprises dataset standardization, AI algorithm refinement, and the implementation of prospective clinical trials and fosters cross-disciplinary partnerships. The fusion of AI with other emergent technologies like augmented reality and 3D printing could further propel progress in breast surgery.
乳房重建是乳房切除术后康复过程的关键部分，旨在恢复乳腺癌幸存者的身体美学和情感健康。近年来，人工智能（AI）已成为众多医学学科中的一项革命性技术。这篇对当前文献的叙述性综述和证据分析探讨了人工智能在乳房重建领域的作用，概述了其在完善手术程序、改善治疗效果和简化决策方面的潜力。
对1901年1月至2023年6月期间的Medline（通过PubMed）、Cochrane图书馆、科学网、谷歌学术、临床试验和Embase数据库进行了系统检索。
通过精心评估一系列近期研究，并应对内在挑战和未来发展轨迹，本综述突出了人工智能在推进乳房重建技术方面所发挥的有前景的作用。然而，数据质量、隐私和伦理考量等问题给人工智能在医学领域的无缝整合带来了障碍。
未来的研究议程包括数据集标准化、人工智能算法优化，以及开展前瞻性临床试验，并促进跨学科合作。人工智能与增强现实和3D打印等其他新兴技术的融合可能会进一步推动乳房手术的进展。
