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人工智能在外科新兴技术中的应用:系统评价与验证。

Artificial Intelligence for Emerging Technology in Surgery: Systematic Review and Validation.

出版信息

IEEE Rev Biomed Eng. 2023;16:241-259. doi: 10.1109/RBME.2022.3183852. Epub 2023 Jan 5.

DOI:10.1109/RBME.2022.3183852
PMID:35709113
Abstract

Surgery is a high-risk procedure of therapy and is associated to post trauma complications of longer hospital stay, estimated blood loss and long duration of surgeries. Reports have suggested that over 2.5% patients die during and post operation. This paper is aimed at systematic review of previous research on artificial intelligence (AI) in surgery, analyzing their results with suitable software to validate their research by obtaining same or contrary results. Six published research articles have been reviewed across three continents. These articles have been re-validated using software including SPSS and MedCalc to obtain the statistical features such as the mean, standard deviation, significant level, and standard error. From the significant values, the experiments are then classified according to the null (p < 0.05) or alternative (p>0.05) hypotheses. The results obtained from the analysis have suggested significant difference in operating time, docking time, staging time, and estimated blood loss but show no significant difference in length of hospital stay, recovery time and lymph nodes harvested between robotic assisted surgery using AI and normal conventional surgery. From the evaluations, this research suggests that AI-assisted surgery improves over the conventional surgery as safer and more efficient system of surgery with minimal or no complications.

摘要

手术是一种高风险的治疗方法,与创伤后并发症、更长的住院时间、估计失血量和手术时间延长有关。有报道称,超过 2.5%的患者在手术中和手术后死亡。本文旨在对手术中的人工智能 (AI) 进行系统回顾,使用合适的软件分析其结果,以验证其研究,获得相同或相反的结果。在三大洲共审查了六篇已发表的研究文章。使用 SPSS 和 MedCalc 等软件对这些文章进行了重新验证,以获得平均值、标准差、显著水平和标准误差等统计特征。然后,根据零假设 (p < 0.05) 或替代假设 (p>0.05) 将实验进行分类。分析结果表明,使用 AI 的机器人辅助手术与常规手术相比,在手术时间、对接时间、分期时间和估计失血量方面存在显著差异,但在住院时间、恢复时间和采集的淋巴结数量方面无显著差异。通过评估,这项研究表明,人工智能辅助手术是一种更安全、更有效的手术系统,具有最小或没有并发症,优于传统手术。

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