人工智能辅助手术：潜力与挑战。
Artificial Intelligence-Assisted Surgery: Potential and Challenges.
作者信息
Bodenstedt Sebastian, Wagner Martin, Müller-Stich Beat Peter, Weitz Jürgen, Speidel Stefanie
机构信息
Division of Translational Surgical Oncology, National Center for Tumor Diseases Dresden, Dresden, Germany.
Centre for Tactile Internet with Human-in-the-Loop (CeTI), TU Dresden, Dresden, Germany.
出版信息
Visc Med. 2020 Dec;36(6):450-455. doi: 10.1159/000511351. Epub 2020 Nov 4.
BACKGROUND
Artificial intelligence (AI) has recently achieved considerable success in different domains including medical applications. Although current advances are expected to impact surgery, up until now AI has not been able to leverage its full potential due to several challenges that are specific to that field.
SUMMARY
This review summarizes data-driven methods and technologies needed as a prerequisite for different AI-based assistance functions in the operating room. Potential effects of AI usage in surgery will be highlighted, concluding with ongoing challenges to enabling AI for surgery.
KEY MESSAGES
AI-assisted surgery will enable data-driven decision-making via decision support systems and cognitive robotic assistance. The use of AI for workflow analysis will help provide appropriate assistance in the right context. The requirements for such assistance must be defined by surgeons in close cooperation with computer scientists and engineers. Once the existing challenges will have been solved, AI assistance has the potential to improve patient care by supporting the surgeon without replacing him or her.
背景
人工智能（AI）最近在包括医学应用在内的不同领域取得了相当大的成功。尽管目前的进展有望对外科手术产生影响，但到目前为止，由于该领域特有的几个挑战，人工智能尚未能够充分发挥其潜力。
总结
本综述总结了作为手术室中不同基于人工智能的辅助功能先决条件所需的数据驱动方法和技术。将突出人工智能在手术中的潜在影响，并以实现人工智能用于手术的持续挑战作为结尾。
关键信息
人工智能辅助手术将通过决策支持系统和认知机器人辅助实现数据驱动的决策。将人工智能用于工作流程分析将有助于在适当的情境中提供适当的辅助。这种辅助的要求必须由外科医生与计算机科学家和工程师密切合作来定义。一旦现有挑战得到解决，人工智能辅助就有可能通过支持外科医生而不是取代他/她来改善患者护理。
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