| 1 |
Weis JJ, Pryor A, Alseidi A, et al. Defining benchmarks for fellowship training in foregut surgery: a 10-year review of fellowship council index cases[J]. Surg Endosc, 2022, 36(12):8856-8862.
|
| 2 |
Schlottmann F, Herbella FAM, Patti MG. Simulation for foregut and bariatric surgery: current status and future directions[J]. J Laparoendosc Adv Surg Tech A, 2021, 31(5):546-550.
|
| 3 |
Panda N, Morse CR. Commentary: practice makes perfect in cervical esophagogastric anastomosis[J]. J Thorac Cardiovasc Surg, 2020, 160(6):1611-1612.
|
| 4 |
Reznick RK, MacRae H. Teaching surgical skills--changes in the wind[J]. N Engl J Med, 2006, 355(25):2664-2669.
|
| 5 |
Lancet The. The best science for achieving Healthy China 2030[J]. Lancet, 2016, 388(10054):1851.
|
| 6 |
Gyawali CP, Kahrilas PJ, Savarino E, et al. Modern diagnosis of GERD: the Lyon consensus[J]. Gut, 2018, 67(7):1351-1362.
|
| 7 |
Chevallier C, Willaert W, Kawa E, et al. Postmortem circulation: a new model for testing endovascular devices and training clinicians in their use[J]. Clin Anat, 2014, 27(4):556-562.
|
| 8 |
Sandmann J, Müschenich FS, Riabikin A, et al. Can silicone models replace animal models in hands-on training for endovascular stroke therapy?[J]. Interv Neuroradiol, 2019, 25(4):397-402.
|
| 9 |
Nagassa RG, McMenamin PG, Adams JW, et al. Advanced 3D printed model of middle cerebral artery aneurysms for neurosurgery simulation[J]. 3D Print Med, 2019, 5(1):11.
|
| 10 |
Wei F, Wang W, Gong H, et al. Reusable modular 3D-printed dry lab training models to simulate minimally invasive choledochojejunostomy[J]. J Gastrointest Surg, 2021, 25(7):1899-1901.
|
| 11 |
Yang J, Luo P, Wang Z, et al. Simulation training of laparoscopic pancreaticojejunostomy and stepwise training program on a 3D-printed model[J]. Int J Surg, 2022, 107106958.
|
| 12 |
Zhang Y, Xia J, Zhang J, et al. Validity of a soft and flexible 3D-printed nissen fundoplication model in surgical training[J]. Int J Bioprint, 2022, 8(2):546.
|
| 13 |
Meola A, Cutolo F, Carbone M, et al. Augmented reality in neurosurgery: a systematic review[J]. Neurosurg Rev, 2017, 40(4):537-548
|
| 14 |
Moglia A, Ferrari V, Morelli L, et al. A systematic review of virtual reality simulators for robot-assisted surgery[J]. Eur Urol, 2016, 69(6):1065-1080.
|
| 15 |
Miyasaka KW, Buchholz J, LaMarra D, et al. Development and implementation of a clinical pathway approach to simulation-based training for foregut surgery[J]. J Surg Educ, 2015, 72(4):625-635.
|
| 16 |
Dias RD, Ngo-Howard MC, Boskovski MT, et al. Systematic review of measurement tools to assess surgeons' intraoperative cognitive workload[J]. Br J Surg, 2018, 105(5):491-501.
|
| 17 |
Borgersen NJ, Naur TMH, Sørensen SMD, et al. Gathering validity evidence for surgical simulation[J]. Ann Surg, 2018, 267(6):1063-1068.
|
| 18 |
Martin JA, Regehr G, Reznick R, et al. Objective structured assessment of technical skill (OSATS) for surgical residents[J]. Br J Surg, 1997, 84(2):273-278.
|
| 19 |
Chen Z, An J, Wu S, et al. Surgesture: a novel instrument based on surgical actions for objective skill assessment[J]. Surg Endosc, 2022, 36(8):6113-6121.
|
| 20 |
Chang KJ. Endoscopic foregut surgery and interventions: the future is now. The state-of-the-art and my personal journey[J]. World J Gastroenterol, 2019, 25(1):1-41.
|