BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Sánchez-margallo JA, Sánchez-margallo FM, Oropesa I, Enciso S, Gómez EJ. Objective assessment based on motion-related metrics and technical performance in laparoscopic suturing. Int J CARS 2017;12:307-14. [DOI: 10.1007/s11548-016-1459-3] [Cited by in Crossref: 14] [Cited by in F6Publishing: 10] [Article Influence: 2.3] [Reference Citation Analysis]
Number Citing Articles
1 Wang SL, Bloomer C, Civillico G, Kontson K. Application of machine learning to the identification of joint degrees of freedom involved in abnormal movement during upper limb prosthesis use. PLoS One 2021;16:e0246795. [PMID: 33571311 DOI: 10.1371/journal.pone.0246795] [Reference Citation Analysis]
2 Castillo-Segura P, Fernández-Panadero C, Alario-Hoyos C, Muñoz-Merino PJ, Delgado Kloos C. Objective and automated assessment of surgical technical skills with IoT systems: A systematic literature review. Artif Intell Med 2021;112:102007. [PMID: 33581827 DOI: 10.1016/j.artmed.2020.102007] [Reference Citation Analysis]
3 Le Lous M, Despinoy F, Klein M, Fustec E, Lavoue V, Jannin P. Impact of Physician Expertise on Probe Trajectory During Obstetric Ultrasound: A Quantitative Approach for Skill Assessment. Simul Healthc 2021;16:67-72. [PMID: 32502122 DOI: 10.1097/SIH.0000000000000465] [Reference Citation Analysis]
4 Shackelford S, Bowyer M. Modern Metrics for Evaluating Surgical Technical Skills. Curr Surg Rep 2017;5. [DOI: 10.1007/s40137-017-0187-0] [Cited by in Crossref: 2] [Article Influence: 0.4] [Reference Citation Analysis]
5 Mansoor SM, Våpenstad C, Mårvik R, Glomsaker T, Bliksøen M. Construct validity of eoSim - a low-cost and portable laparoscopic simulator. Minim Invasive Ther Allied Technol 2020;29:261-8. [PMID: 31280633 DOI: 10.1080/13645706.2019.1638411] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
6 Baribeau V, Weinstein J, Wong VT, Sharkey A, Lodico DN, Matyal R, Mahmood F, Mitchell JD. Motion-Tracking Machines and Sensors: Advancing Education Technology. J Cardiothorac Vasc Anesth 2021:S1053-0770(21)00617-0. [PMID: 34551885 DOI: 10.1053/j.jvca.2021.07.036] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 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]
8 Oropesa I, Escamirosa FP, Sánchez-Margallo JA, Enciso S, Rodríguez-Vila B, Martínez AM, Sánchez-Margallo FM, Gómez EJ, Sánchez-González P. Interpretation of motion analysis of laparoscopic instruments based on principal component analysis in box trainer settings. Surg Endosc 2018;32:3096-107. [PMID: 29349544 DOI: 10.1007/s00464-018-6022-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
9 Verhoeven DJ, Hillemans V, Leijte E, Verhoeven BH, Botden SMBI. Assessment of Minimally Invasive Suturing Skills: Is Instrument Tracking an Accurate Prediction? J Laparoendosc Adv Surg Tech A 2022. [PMID: 35900263 DOI: 10.1089/lap.2022.0313] [Reference Citation Analysis]
10 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]
11 Brun MV, Sánchez-Margallo JA, Machado-Silva MA, Sánchez-Margallo FM. Use of a new device for gasless endosurgery in a laparoscopic diaphragmatic hernia repair ex vivo canine model: A pre-clinical study. Vet Med Sci 2021. [PMID: 34878226 DOI: 10.1002/vms3.675] [Reference Citation Analysis]
12 Chinese Medical Doctors Association of Thoracic Surgeons., Thoracic Surgery Branch of Zhejiang Medical Association., Chinese Thoracic Surgery Lung Cancer Union., National Key R&D Program of China. [Chinese Expert Consensus Statement on Clinical Evaluation System of Medical Endoscopy]. Zhongguo Fei Ai Za Zhi 2020;23:409-13. [PMID: 32517441 DOI: 10.3779/j.issn.1009-3419.2020.104.10] [Reference Citation Analysis]
13 Villagrán I, Moënne-Loccoz C, Aguilera V, García V, Reyes JT, Rodríguez S, Miranda C, Altermatt F, Fuentes-López E, Delgado M, Neyem A. Biomechanical analysis of expert anesthesiologists and novice residents performing a simulated central venous access procedure. PLoS One 2021;16:e0250941. [PMID: 33930076 DOI: 10.1371/journal.pone.0250941] [Reference Citation Analysis]
14 Pérez-Escamirosa F, Alarcón-Paredes A, Alonso-Silverio GA, Oropesa I, Camacho-Nieto O, Lorias-Espinoza D, Minor-Martínez A. Objective classification of psychomotor laparoscopic skills of surgeons based on three different approaches. Int J Comput Assist Radiol Surg 2020;15:27-40. [PMID: 31605351 DOI: 10.1007/s11548-019-02073-2] [Cited by in Crossref: 6] [Article Influence: 2.0] [Reference Citation Analysis]
15 Barreira MA, Siveira DG, Rocha HAL, Moura Junior LG, Mesquita CJG, Borges GCO. Evaluation tool for a gastroenterostomy simulated training1. Acta Cir Bras 2019;34:e201900308. [PMID: 30892394 DOI: 10.1590/s0102-865020190030000008] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
16 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]