Toward precision surgical education: quantitative evaluation of surgical performance using instantaneous screw axes

Berges Alexandra J, Swaroop Vedula S, Chara Alejandro, Hager Gregory D, Ishii Masaru, Malpani Anand (2023) Eye tracking and motion data predict endoscopic sinus surgery skill. Laryngoscope 133(3):500–505

Article  PubMed  Google Scholar 

Boehm J R, Fey N P, Fey Ann Majewicz (2021) Online recognition of bimanual coordination provides important context for movement data in bimanual teleoperated robots. In IEEE International Conference on Intelligent Robots and Systems (IROS), pages 6248–6255. IEEE

Boehm Jacob R , Fey Nicholas P, Fey Ann Majewicz (2023) Shaping human movement via bimanually-dependent haptic force feedback. In 2023 IEEE World Haptics Conference (WHC), pages 266–272. IEEE,

Boone Brian A, Zenati Mazen, Hogg Melissa E, Steve Jennifer, Moser Arthur James, Bartlett David L, Zeh Herbert J, Zureikat Amer H (2015) Assessment of quality outcomes for robotic pancreaticoduodenectomy: Identification of the learning curve. JAMA Surg 150(5):416–422

Article  PubMed  Google Scholar 

Chen Stephanie P, Kirsch Sarah, Zlatev Dimitar V, Chang Timothy, Comstock Bryan, Lendvay Thomas S, Liao Joseph C (2016) Optical biopsy of bladder cancer using crowd-sourced assessment. JAMA Surg 151(1):90–93

Article  PubMed  Google Scholar 

DiPietro R, Lea C, Malpani A, Ahmidi N, Vedula S. S, Lee G I, Lee M R, Hager G D (2016) Recognizing surgical activities with recurrent neural networks. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I, page 551–558, Berlin, Heidelberg, 2016. Springer-Verlag. ISBN 978-3-319-46719-1. https://doi.org/10.1007/978-3-319-46720-7_64

DiPietro R, Ahmidi N, Malpani A, Waldram M, Lee G, Lee MR, Swaroop Vedula S, Hager G D (2005) Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks. International Journal of Computer Assisted Radiology and Surgery, 14 (11): 2005–2020, November 2019. ISSN 1861-6410. https://doi.org/10.1007/s11548-019-01953-x. Publisher Copyright: 2019, CARS

Ershad Marzieh, Rege Robert, Fey Ann Majewicz (2019) Automatic and near real-time stylistic behavior assessment in robotic surgery. Int J Comp Assisted Radiol Surg 14:635–643

Article  CAS  Google Scholar 

Gallardo-Alvarado J , Gallardo-Razo J (2022) Chapter 18 - fundamentals of screw theory. In Jaime Gallardo-Alvarado and José Gallardo-Razo, editors, Mechanisms, Emerging Methodologies and Applications in Modelling, Identification and Control, pages 381–420. Academic Press ISBN 978-0-323-95348-1

Gao Y, Swaroop Vedula S, Reiley C E., Ahmidi N, Varadarajan B, Lin H C, Tao L, Zappella L, Béjar B, Yuh D D, Chiung Grace Chen C, Vidal R, Khudanpur S, Hager G (2014) Jhu-isi gesture and skill assessment working set ( jigsaws ) : A surgical activity dataset for human motion modeling. https://api.semanticscholar.org/CorpusID:16185857

Goldbraikh A, Volk T, Pugh CM, Laufer S (2022) Using open surgery simulation kinematic data for tool and gesture recognition. Int J Comput Assist Radiol Surg 17(6):965–979 https://doi.org/10.1007/s11548-022-02615-1 Publisher Copyright: 2022, CARS

Grober Ethan D, Roberts Matthew, Shin Eyun Jung, Mahdi Mohammed, Bacal Vanessa (2010) Intraoperative assessment of technical skills on live patients using economy of hand motion: establishing learning curves of surgical competence. Am J Surg 199(1):81–85. https://doi.org/10.1016/j.amjsurg.2009.07.033

Article  PubMed  Google Scholar 

Herrero E G, Ho J, Khatib O (2021)Understanding and segmenting human demonstrations into reusable compliant primitives. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 9437–9444, https://doi.org/10.1109/IROS51168.2021.9636523

Hutchinson Kay, Reyes Ian, Li Zongyu, Alemzadeh Homa (2023) Evaluating the task generalization of temporal convolutional networks for surgical gesture and motion recognition using kinematic data. IEEE Robot Autom Lett 8:5132–5139

Article  Google Scholar 

Jain S, Barsness K A , Argall B (2015) Automated and objective assessment of surgical training: Detection of procedural steps on videotaped performances. In International Conference on Digital Image Computing: Techniques and Applications (DICTA), pages 1–6. IEEE

Jun S K , Narayanan M S, Agarwal P, Eddib A, Singhal P, Garimella S, Krovi V (2012)Robotic minimally invasive surgical skill assessment based on automated video-analysis motion studies. Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, pages 25–31 ISSN 21551774. https://doi.org/10.1109/BioRob.2012.6290869

Koenig N, Mataric M J (2006) Behavior-based segmentation of demonstrated tasks. In Proceedings of the international conference on development and learning. Citeseer

Kowalewski Timothy M, Comstock Bryan, Sweet Robert, Schaffhausen Cory, Menhadji Ashleigh, Averch Timothy, Box Geoffrey, Brand Timothy, Ferrandino Michael, Kaouk Jihad, Knudsen Bodo, Landman Jaime, Lee Benjamin, Schwartz Bradley F, McDougall Elspeth, Lendvay Thomas S (2016) Crowd-sourced assessment of technical skills for validation of basic laparoscopic urologic skills tasks. J Urol 195(6):1859–1865. https://doi.org/10.1016/j.juro.2016.01.005

Article  PubMed  Google Scholar 

Anand Malpani S, Vedula Swaroop, Chen Chi Chiung Grace, Hager Gregory D (2015) A study of crowdsourced segment-level surgical skill assessment using pairwise rankings. IJCARS 10(9):1435–1447. https://doi.org/10.1007/s11548-015-1238-6

Article  Google Scholar 

Mandlekar A, Zhu Y, Garg A, Booher J, Spero M, Tung A, Gao J, Emmons J, Gupta A, Orbay E, et al. (2018) Roboturk: A crowdsourcing platform for robotic skill learning through imitation. In Conference on Robot Learning, pages 879–893. PMLR

Oropesa Ignacio, Sanchez-Gonzalez Patricia, Chmarra Magdalena K, Lamata Pablo, Fernandez Alvaro, Sanchez-Margallo Juan A, Jansen Frank Willem, Dankelman Jenny, Sanchez-Margallo Francisco M, Gomez Enrique J (2013) Eva: laparoscopic instrument tracking based on endoscopic video analysis for psychomotor skills assessment. Surg Endosc 27(3):1029–1039

Article  PubMed  Google Scholar 

Osa Takayuki, Pajarinen Joni, Gerhard Neumann J, Bagnell Andrew, Abbeel Pieter, Peters Jan (2018) An algorithmic perspective on imitation learning. Foundations Trends Robot 7(1–2):1–179. https://doi.org/10.1561/2300000053

Article  Google Scholar 

Pettinger A, Alambeigi F, Pryor M (2022) A versatile affordance modeling framework using screw primitives to increase autonomy during manipulation contact tasks. IEEE Robot Autom Lett 7(3):7224–7231. https://doi.org/10.1109/LRA.2022.3181732

Article  Google Scholar 

Rogers Selwyn O, Gawande Atul A, Kwaan Mary, Puopolo Ann Louise, Yoon Catherine, Brennan Troyen A, Studdert David M (2006) Analysis of surgical errors in closed malpractice claims at 4 liability insurers. Surgery 140(1):25–33

Article  PubMed  Google Scholar 

Rowland Drake, Davis Benjamin, Higgins Taylor, Fey Ann Majewicz (2024) Enhancing user performance by adaptively changing haptic feedback cues in a fitts’s law task. IEEE Trans Haptics 17(1):92–99

Article  PubMed  Google Scholar 

Sharon Y, Geftler A, Kossowsky Lev H, Nisky I (2025) BGU Surgical Kinematics and vIdeo of Longitudinal Learning and Skill acquisition (BGU-SKILLS). https://doi.org/10.17617/3.CYSIAP

Shi C, Zheng Y, Fey A M (2022) Recognition and prediction of surgical gestures and trajectories using transformer models in robot-assisted surgery. In IEEE International Conference on Intelligent Robots and Systems (IROS), pages 8017–8024. IEEE

Shi C, Madera J, Boyea H, Fey A M (2023) Haptic guidance using a transformer-based surgeon-side trajectory prediction algorithm for robot-assisted surgical training. In IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE

van Amsterdam Beatrice, Clarkson Matthew J, Stoyanov Danail (2021) Gesture recognition in robotic surgery: a review. IEEE Transactions on Biomedical Engineering 68(6)

Ziheng Wang and Ann Majewicz Fey (2018) Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery. Int J Comput Assist Radiol Surg 13:1959–1970

Article  PubMed  Google Scholar 

Wang Ziheng, Mariani Andrea, Menciassi Arianna, De Momi Elena, Fey Ann Majewicz (2023) Uncertainty-aware self-supervised learning for cross-domain technical skill assessment in robot-assisted surgery. IEEE Trans Med Robot Bionics 5(2):301–311

Article  Google Scholar 

Zappella Luca, Béjar Benjamín, Hager Gregory, Vidal René (2013) Surgical gesture classification from video and kinematic data. Medical Image Analysis 17(7):732–745 ISSN 1361-8415. https://doi.org/10.1016/j.media.2013.04.007. Special Issue on the 2012 Conference on Medical Image Computing and Computer Assisted Intervention

Zheng Y, Ershad M, Fey AM (2022) Toward correcting anxious movements using haptic cues on the da vinci surgical robot. In IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), pages 1–8. IEEE

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