BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Kowalewski K, Hendrie JD, Schmidt MW, Garrow CR, Bruckner T, Proctor T, Paul S, Adigüzel D, Bodenstedt S, Erben A, Kenngott H, Erben Y, Speidel S, Müller-stich BP, Nickel F. Development and validation of a sensor- and expert model-based training system for laparoscopic surgery: the iSurgeon. Surg Endosc 2017;31:2155-65. [DOI: 10.1007/s00464-016-5213-2] [Cited by in Crossref: 32] [Cited by in F6Publishing: 18] [Article Influence: 5.3] [Reference Citation Analysis]
Number Citing Articles
1 Vaidya A, Aydin A, Ridgley J, Raison N, Dasgupta P, Ahmed K. Current Status of Technical Skills Assessment Tools in Surgery: A Systematic Review. Journal of Surgical Research 2020;246:342-78. [DOI: 10.1016/j.jss.2019.09.006] [Cited by in Crossref: 16] [Cited by in F6Publishing: 14] [Article Influence: 8.0] [Reference Citation Analysis]
2 Bilgic E, Alyafi M, Hada T, Landry T, Fried GM, Vassiliou MC. Simulation platforms to assess laparoscopic suturing skills: a scoping review. Surg Endosc 2019;33:2742-62. [PMID: 31089881 DOI: 10.1007/s00464-019-06821-y] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
3 Gibaud B, Forestier G, Feldmann C, Ferrigno G, Gonçalves P, Haidegger T, Julliard C, Katić D, Kenngott H, Maier-Hein L, März K, de Momi E, Nagy DÁ, Nakawala H, Neumann J, Neumuth T, Rojas Balderrama J, Speidel S, Wagner M, Jannin P. Toward a standard ontology of surgical process models. Int J Comput Assist Radiol Surg 2018;13:1397-408. [PMID: 30006820 DOI: 10.1007/s11548-018-1824-5] [Cited by in Crossref: 19] [Cited by in F6Publishing: 7] [Article Influence: 4.8] [Reference Citation Analysis]
4 Goldbraikh A, Volk T, Pugh CM, Laufer S. Using open surgery simulation kinematic data for tool and gesture recognition. Int J Comput Assist Radiol Surg 2022. [PMID: 35419721 DOI: 10.1007/s11548-022-02615-1] [Reference Citation Analysis]
5 Fuchs R, Van Praet KM, Bieck R, Kempfert J, Holzhey D, Kofler M, Borger MA, Jacobs S, Falk V, Neumuth T. A system for real-time multivariate feature combination of endoscopic mitral valve simulator training data. Int J Comput Assist Radiol Surg 2022. [PMID: 35294716 DOI: 10.1007/s11548-022-02588-1] [Reference Citation Analysis]
6 Kowalewski K, Egen L, Fischetti CE, Puliatti S, Juan GR, Taratkin M, Ines RB, Sidoti Abate MA, Mühlbauer J, Wessels F, Checcucci E, Cacciamani G. Artificial intelligence for renal cancer: From imaging to histology and beyond. Asian Journal of Urology 2022. [DOI: 10.1016/j.ajur.2022.05.003] [Reference Citation Analysis]
7 Romero P, Carstensen L, Kössler‐ebs J, Wennberg E, Müller‐stich BP, Nickel F, Günther P. Learning and application of intracorporal slipping knot techniques in minimally invasive surgery. Surgical Practice 2021;25:218-22. [DOI: 10.1111/1744-1633.12534] [Reference Citation Analysis]
8 Pastewski J, Baker D, Somerset A, Leonard K, Azzie G, Roach VA, Ziegler K, Brahmamdam P. Analysis of Instrument Motion and the Impact of Residency Level and Concurrent Distraction on Laparoscopic Skills. J Surg Educ 2021;78:265-74. [PMID: 32741690 DOI: 10.1016/j.jsurg.2020.07.012] [Reference Citation Analysis]
9 Bilgic E, Endo S, Lebedeva E, Takao M, McKendy KM, Watanabe Y, Feldman LS, Vassiliou MC. A scoping review of assessment tools for laparoscopic suturing. Surg Endosc 2018;32:3009-23. [PMID: 29721749 DOI: 10.1007/s00464-018-6199-8] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
10 Nagayo Y, Saito T, Oyama H. Augmented reality self-training system for suturing in open surgery: A randomized controlled trial. Int J Surg 2022;:106650. [PMID: 35525415 DOI: 10.1016/j.ijsu.2022.106650] [Reference Citation Analysis]
11 Nagayo Y, Saito T, Oyama H. A Novel Suture Training System for Open Surgery Replicating Procedures Performed by Experts Using Augmented Reality. J Med Syst 2021;45:60. [PMID: 33829327 DOI: 10.1007/s10916-021-01735-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Limbu BH, Jarodzka H, Klemke R, Specht M. Using sensors and augmented reality to train apprentices using recorded expert performance: A systematic literature review. Educational Research Review 2018;25:1-22. [DOI: 10.1016/j.edurev.2018.07.001] [Cited by in Crossref: 20] [Article Influence: 5.0] [Reference Citation Analysis]
13 Haney CM, Karadza E, Limen EF, de Santibanes M, Kinny-köster B, Müller PC, Bintintan VV, Kulu Y, Hackert T, Müller-stich B, Nickel F. Training and learning curves in minimally invasive pancreatic surgery: from simulation to mastery. Journal of Pancreatology 2020;3:101-10. [DOI: 10.1097/jp9.0000000000000050] [Cited by in Crossref: 6] [Article Influence: 3.0] [Reference Citation Analysis]
14 Ebina K, Abe T, Higuchi M, Furumido J, Iwahara N, Kon M, Hotta K, Komizunai S, Kurashima Y, Kikuchi H, Matsumoto R, Osawa T, Murai S, Tsujita T, Sase K, Chen X, Konno A, Shinohara N. Motion analysis for better understanding of psychomotor skills in laparoscopy: objective assessment-based simulation training using animal organs. Surg Endosc 2021;35:4399-416. [PMID: 32909201 DOI: 10.1007/s00464-020-07940-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
15 Yang C, Kalinitschenko U, Helmert JR, Weitz J, Reissfelder C, Mees ST. Transferability of laparoscopic skills using the virtual reality simulator. Surg Endosc 2018;32:4132-7. [PMID: 29602986 DOI: 10.1007/s00464-018-6156-6] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 2.3] [Reference Citation Analysis]
16 Schmidt MW, Kowalewski KF, Trent SM, Benner L, Müller-Stich BP, Nickel F. Self-directed training with e-learning using the first-person perspective for laparoscopic suturing and knot tying: a randomised controlled trial : Learning from the surgeon's real perspective. Surg Endosc 2020;34:869-79. [PMID: 31139998 DOI: 10.1007/s00464-019-06842-7] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
17 Tang R, Ma LF, Rong ZX, Li MD, Zeng JP, Wang XD, Liao HE, Dong JH. Augmented reality technology for preoperative planning and intraoperative navigation during hepatobiliary surgery: A review of current methods. Hepatobiliary Pancreat Dis Int 2018;17:101-12. [PMID: 29567047 DOI: 10.1016/j.hbpd.2018.02.002] [Cited by in Crossref: 50] [Cited by in F6Publishing: 41] [Article Influence: 12.5] [Reference Citation Analysis]
18 Schmitt F, Mariani A, Eyssartier E, Granry J, Podevin G. Skills improvement after observation or direct practice of a simulated laparoscopic intervention. Journal of Gynecology Obstetrics and Human Reproduction 2018;47:101-6. [DOI: 10.1016/j.jogoh.2017.12.004] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
19 Ganni S, Botden SMBI, Chmarra M, Goossens RHM, Jakimowicz JJ. A software-based tool for video motion tracking in the surgical skills assessment landscape. Surg Endosc 2018;32:2994-9. [PMID: 29340824 DOI: 10.1007/s00464-018-6023-5] [Cited by in Crossref: 15] [Cited by in F6Publishing: 14] [Article Influence: 3.8] [Reference Citation Analysis]
20 Garrow CR, Kowalewski KF, Li L, Wagner M, Schmidt MW, Engelhardt S, Hashimoto DA, Kenngott HG, Bodenstedt S, Speidel S, Müller-Stich BP, Nickel F. Machine Learning for Surgical Phase Recognition: A Systematic Review. Ann Surg 2021;273:684-93. [PMID: 33201088 DOI: 10.1097/SLA.0000000000004425] [Cited by in Crossref: 8] [Cited by in F6Publishing: 1] [Article Influence: 8.0] [Reference Citation Analysis]
21 Kowalewski K, Garrow CR, Schmidt MW, Benner L, Müller-stich BP, Nickel F. Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying. Surg Endosc 2019;33:3732-40. [DOI: 10.1007/s00464-019-06667-4] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 3.3] [Reference Citation Analysis]
22 von Bechtolsheim F, Oehme F, Maruschke M, Schmidt S, Schneider A, Weitz J, Distler M, Bodenstedt S, Funke I, Speidel S, Mees ST. Does caffeine consumption affect laparoscopic skills in a motion tracking analysis? A prospective, randomized, blinded crossover trial. Surg Endosc 2021. [PMID: 34782961 DOI: 10.1007/s00464-021-08783-6] [Reference Citation Analysis]
23 Atesok K, MacDonald P, Leiter J, Dubberley J, Satava R, VanHeest A, Hurwitz S, Marsh JL. Orthopaedic education in the era of surgical simulation: Still at the crawling stage. World J Orthop 2017; 8(4): 290-294 [PMID: 28473955 DOI: 10.5312/wjo.v8.i4.290] [Cited by in CrossRef: 11] [Cited by in F6Publishing: 10] [Article Influence: 2.2] [Reference Citation Analysis]
24 Nickel F, Cizmic A, Chand M. Telestration and Augmented Reality in Minimally Invasive Surgery: An Invaluable Tool in the Age of COVID-19 for Remote Proctoring and Telementoring. JAMA Surg 2021. [PMID: 34705030 DOI: 10.1001/jamasurg.2021.3604] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
25 Ober J, Haubruck P, Nickel F, Walker T, Friedrich M, Müller-Stich BP, Schmidmaier G, Tanner MC. Development and validation of an objective assessment scale for chest tube insertion under 'direct' and 'indirect' rating. BMC Med Educ 2018;18:320. [PMID: 30587187 DOI: 10.1186/s12909-018-1430-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
26 Kenngott HG, Pfeiffer M, Preukschas AA, Bettscheider L, Wise PA, Wagner M, Speidel S, Huber M, Nickel F, Mehrabi A, Müller-Stich BP. IMHOTEP: cross-professional evaluation of a three-dimensional virtual reality system for interactive surgical operation planning, tumor board discussion and immersive training for complex liver surgery in a head-mounted display. Surg Endosc 2021. [PMID: 33475848 DOI: 10.1007/s00464-020-08246-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
27 Alvarez-Lopez F, Maina MF, Arango F, Saigí-Rubió F. Use of a Low-Cost Portable 3D Virtual Reality Simulator for Psychomotor Skill Training in Minimally Invasive Surgery: Task Metrics and Score Validity. JMIR Serious Games 2020;8:e19723. [PMID: 33107833 DOI: 10.2196/19723] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
28 Alvarez-Lopez F, Maina MF, Saigí-Rubió F. Use of Commercial Off-The-Shelf Devices for the Detection of Manual Gestures in Surgery: Systematic Literature Review. J Med Internet Res 2019;21:e11925. [PMID: 31066679 DOI: 10.2196/11925] [Cited by in Crossref: 6] [Article Influence: 2.0] [Reference Citation Analysis]
29 Bechtolsheim F, Oehme F, Weitz J, Oppermann N, Reissfelder C, Mees ST, Yang C. The Hunger Games: Laparoscopic Performance in Novice Surgeons is Not Altered by Food Deprivation but Influenced by the Degree of Appetite - A Randomized Controlled Trial. J Surg Educ 2020;77:1236-43. [PMID: 32532700 DOI: 10.1016/j.jsurg.2020.03.029] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]