Training Simulators for Gastrointestinal Endoscopy: Current and Future Perspectives

被引:26
|
作者
Finocchiaro, Martina [1 ,2 ,3 ]
Cortegoso Valdivia, Pablo [4 ]
Hernansanz, Albert [2 ]
Marino, Nicola [5 ]
Amram, Denise [6 ]
Casals, Alicia [2 ]
Menciassi, Arianna [1 ,3 ]
Marlicz, Wojciech [7 ,8 ]
Ciuti, Gastone [1 ,3 ]
Koulaouzidis, Anastasios [9 ]
机构
[1] Scuola Super Sant Anna, BioRobot Inst, I-56025 Pisa, Italy
[2] Univ Politecn Cataluna, Ctr Res Biomed Engn, Barcelona 08034, Spain
[3] Scuola Super Sant Anna, Dept Excellence Robot & AI, I-56127 Pisa, Italy
[4] Univ Parma, Univ Hosp Parma, Gastroenterol & Endoscopy Unit, I-43126 Parma, Italy
[5] Univ Foggia, Dept Med & Surg Sci, I-71121 Foggia, Italy
[6] Scuola Super Sant Anna, DIRPOLIS Inst, LIDER Lab, I-56025 Pisa, Italy
[7] Pomeranian Med Univ, Dept Gastroenterol, PL-71252 Szczecin, Poland
[8] Ctr Digest Dis Endoklin, PL-70535 Szczecin, Poland
[9] Pomeranian Med Univ, Dept Social Med & Publ Hlth, PL-71252 Szczecin, Poland
关键词
GI endoscopy; medical simulation; medical education; training; gastroscopy; colonoscopy; simulators; SUBMUCOSAL DISSECTION; COMPUTER-SIMULATION; ADENOMA DETECTION; LEARNING-CURVE; MODEL; COLONOSCOPY; VALIDATION; FUNDAMENTALS; FEASIBILITY; CADAVERS;
D O I
10.3390/cancers13061427
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary Over the last decades, visual endoscopy has become a gold standard for the detection and treatment of gastrointestinal cancers. However, mastering endoscopic procedures is complex and requires long hours of practice. In this context, simulation-based training represents a valuable opportunity for acquiring technical and cognitive skills, suiting the different trainees' learning pace and limiting the risks for the patients. In this regard, the present contribution aims to present a critical and comprehensive review of the current technology for gastrointestinal (GI) endoscopy training, including both commercial products and platforms at a research stage. Not limited to it, the recent revolution played by the technological advancements in the fields of robotics, artificial intelligence, virtual/augmented reality, and computational tools on simulation-based learning is documented and discussed. Finally, considerations on the future trend of this application field are drawn, highlighting the impact of the most recent pandemic and the current demographic trends. Gastrointestinal (GI) endoscopy is the gold standard in the detection and treatment of early and advanced GI cancers. However, conventional endoscopic techniques are technically demanding and require visual-spatial skills and significant hands-on experience. GI endoscopy simulators represent a valid solution to allow doctors to practice in a pre-clinical scenario. From the first endoscopy mannequin, developed in 1969, several simulation platforms have been developed, ranging from purely mechanical systems to more complex mechatronic devices and animal-based models. Considering the recent advancement of technologies (e.g., artificial intelligence, augmented reality, robotics), simulation platforms can now reach high levels of realism, representing a valid and smart alternative to standard trainee/mentor learning programs. This is particularly true nowadays, when the current demographic trend and the most recent pandemic demand, more than ever, the ability to cope with many patients. This review offers a broad view of the technology available for GI endoscopy training, including platforms currently in the market and the relevant advancements in this research and application field. Additionally, new training needs and new emerging technologies are discussed to understand where medical education is heading.
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页码:1 / 26
页数:26
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