Artificial Intelligence in Surgical Learning

被引：13
|
作者：
Pakkasjarvi, Niklas [1 ]
Luthra, Tanvi [2 ]
Anand, Sachit [2 ]
机构：
[1] Turku Univ Hosp, Dept Pediat Surg, Turku 20521, Finland
[2] All India Inst Med Sci, Dept Pediat Surg, New Delhi 110029, India
来源：
SURGERIES | 2023年 / 4卷 / 01期
关键词：
artificial intelligence; surgical learning; machine learning; minimally invasive surgery; FUTURE;
D O I：
10.3390/surgeries4010010
中图分类号：
R61 [外科手术学];
学科分类号：
摘要：
(1) Background: Artificial Intelligence (AI) is transforming healthcare on all levels. While AI shows immense potential, the clinical implementation is lagging. We present a concise review of AI in surgical learning; (2) Methods: A non-systematic review of AI in surgical learning of the literature in English is provided; (3) Results: AI shows utility for all components of surgical competence within surgical learning. AI presents with great potential within robotic surgery specifically; (4) Conclusions: Technology will evolve in ways currently unimaginable, presenting us with novel applications of AI and derivatives thereof. Surgeons must be open to new modes of learning to be able to implement all evidence-based applications of AI in the future. Systematic analyses of AI in surgical learning are needed.
引用
收藏
页码：86 / 97
页数：12
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