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Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

《医学前沿（英文）》 2020年第14卷第4期页码 369-381 doi: 10.1007/s11684-020-0784-7

摘要： Research into medical artificial intelligence (AI) has made significant advances in recent years, including surgical applications. This scoping review investigated AI-based decision support systems targeted at the intraoperative phase of surgery and found a wide range of technological approaches applied across several surgical specialties. Within the twenty-one ( =21) included papers, three main categories of motivations were identified for developing such technologies: (1) augmenting the information available to surgeons, (2) accelerating intraoperative pathology, and (3) recommending surgical steps. While many of the proposals hold promise for improving patient outcomes, important methodological shortcomings were observed in most of the reviewed papers that made it difficult to assess the clinical significance of the reported performance statistics. Despite limitations, the current state of this field suggests that a number of opportunities exist for future researchers and clinicians to work on AI for surgical decision support with exciting implications for improving surgical care.

关键词： artificial intelligence decision support clinical decision support systems intraoperative deep learning computer vision machine learning surgery

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Essential training steps to achieving competency in the basic intraoperative transesophageal echocardiography

null

《医学前沿（英文）》 2015年第9卷第1期页码 123-128 doi: 10.1007/s11684-014-0366-7

摘要：

Guidelines for the intraoperative transesophageal echocardiography (TEE) examination have defined a detailed standard for medical professionals, particularly anesthesiologists, on how a TEE exam should proceed. Over the years, TEE has gained substantial popularity and emerged as a preferred monitoring modality to aid in perioperative management and decision making during hemodynamic instability situations or critical care settings. TEE training pathways and practice guidelines have been well established in western countries and many regions of the world. However, TEE training and practice information for anesthesiologists are lacking in China. As innovative technologies develop, other educational models have emerged to aid in obtaining competency in basic TEE exam. Hence, establishing a consensus on the ideal TEE training approach for anesthesiologists in China is urgently needed. Developing an effective curriculum that can be incorporated into an anesthesiology resident’s overall training is also necessary to provide knowledge and skills toward competency in basic TEE exam. With evolving medical system reforms and increasing demands for intraoperative hemodynamic monitoring to accommodate surgical innovations, anesthesiology professionals are increasingly obliged to perform intraoperative TEE exams in their current and future practices. To overcome obstacles and achieve significant progress in using the TEE modality to help in intraoperative management and surgical decision making, publishing basic TEE training guidelines for China’s anesthesiologists is an important endeavor.

关键词： transesophageal echocardiography guidelines training competency

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肿瘤光学分子影像前沿技术：追求更精准和更灵敏 Review

王坤,迟崇巍,胡振华,刘沐寒,惠辉,尚文婷,彭冬,张爽,叶津佐,刘海哮,田捷

《工程（英文）》 2015年第1卷第3期页码 309-323 doi: 10.15302/J-ENG-2015082

摘要：

以新发展的光学多模成像、契伦科夫荧光成像和光学影像手术导航技术为代表的光学分子影像前沿技术，开辟了肿瘤研究、临床转化和医疗实践的新前沿领域。相对于传统成像技术，新技术在活体肿瘤成像上可以提供前所未有的灵敏度和精准度。活体肿瘤细胞和分子行为与事件的可视化正在系统地促进人们对肿瘤的深度理解。这些成像技术的新进展正被快速应用于肿瘤诊疗，如对不同肿瘤之间分子异质性信息的动态和量化获取，以及通过实时成像辅助实现更有效的治疗性干预。在分子影像的时代中，光学技术为促进高灵敏度肿瘤诊断和个体化治疗的发展带来了巨大的希望，而这些正是精准医学的终极目标之一。

关键词：光学分子影像多模分子成像光学多模断层成像契伦科夫荧光成像光学影像手术导航