乳腺手术中的人工智能:当前的应用,挑战和未来的前景
Mahtab Khajeh1, Pezhman Farshidmehr2, Ehsan Rahimpour3
1Non-Communicable Diseases Research Center, Sabzevar University of Medical Sciences, Iran.
The Journal of international medical research
|January 21, 2026
概括
人工智能 (AI) 提高了从计划到恢复的乳腺癌手术精度. 人工智能工具提高了瘤检测,手术准确度和患者的结果,尽管临床整合面临挑战.
科学领域:
- 手术瘤学手术瘤学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 乳腺癌手术正在随着技术进步而发展.
- 人工智能 (AI) 提供了在外科护理中提高精度和个性化的潜力.
- 人工智能的当前应用涵盖了乳腺癌的整个外科连续性.
研究的目的:
- 审查人工智能在乳腺癌手术中的应用,涉及手术前,手术后和术后阶段.
- 确定将人工智能整合到外科实践中的进步和挑战.
- 突出多式人工智能在乳腺癌治疗中的潜力.
主要方法:
- 采用了一个叙事审查方法.
- 在PubMed,Scopus和Web of Science进行了结构化的文献搜索.
- 在过去15年中发表的研究包括了专注于乳腺癌手术中的AI.
主要成果:
- 人工智能通过增强瘤检测,细分和边缘评估来帮助术前规划.
- 术内人工智能通过实时图像指导和机器人辅助来提高准确性.
- 术后人工智能有助于预测并发症,监测复发和个性化后续治疗.
结论:
- 在整个外科连续过程中,人工智能的整合有望提高精度,减少并发症,并在乳腺癌手术中改善以患者为中心的护理.
- 诸如数据标准化,可解释性,伦理学和临床整合等挑战需要进一步关注.
- 跨学科的合作对于实现人工智能在外科瘤学中的全部临床潜力至关重要.
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