Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks

International Journal of Computer Assisted Radiology and Surgery
Hassan Ismail FawazPierre-Alain Muller

Abstract

Manual feedback from senior surgeons observing less experienced trainees is a laborious task that is very expensive, time-consuming and prone to subjectivity. With the number of surgical procedures increasing annually, there is an unprecedented need to provide an accurate, objective and automatic evaluation of trainees' surgical skills in order to improve surgical practice. In this paper, we designed a convolutional neural network (CNN) to classify surgical skills by extracting latent patterns in the trainees' motions performed during robotic surgery. The method is validated on the JIGSAWS dataset for two surgical skills evaluation tasks: classification and regression. Our results show that deep neural networks constitute robust machine learning models that are able to reach new competitive state-of-the-art performance on the JIGSAWS dataset. While we leveraged from CNNs' efficiency, we were able to minimize its black-box effect using the class activation map technique. This characteristic allowed our method to automatically pinpoint which parts of the surgery influenced the skill evaluation the most, thus allowing us to explain a surgical skill classification and provide surgeons with a novel personalized feedback technique. W...Continue Reading

References

Jul 5, 2003·BMJ : British Medical Journal·Ben BridgewaterUNKNOWN North West Quality Improvement Programme in Cardiac Interventions
Feb 24, 2015·Advances in Health Sciences Education : Theory and Practice·Rose HatalaRichard Hawkins
Oct 10, 2015·International Journal of Computer Assisted Radiology and Surgery·Yohannes KassahunEmmanuel Vander Poorten
Nov 12, 2015·Journal of Biomedical Informatics·Gazi IslamVimla L Patel
Jan 7, 2017·IEEE Transactions on Bio-medical Engineering·Narges AhmidiGregory D Hager
Mar 20, 2018·International Journal of Computer Assisted Radiology and Surgery·Aneeq Zia, Irfan Essa
Sep 3, 2018·Artificial Intelligence in Medicine·Germain ForestierPierre Jannin
Sep 27, 2018·International Journal of Computer Assisted Radiology and Surgery·Ziheng Wang, Ann Majewicz Fey
Sep 1, 2017·Nature Biomedical Engineering·Lena Maier-HeinPierre Jannin

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Citations

Jun 9, 2020·The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS·Leonardo TanziEnrico Vezzetti
Jul 21, 2020·Surgical Innovation·Jani KoskinenAntti-Pekka Elomaa
Oct 8, 2020·International Journal of Computer Assisted Radiology and Surgery·Alan Kawarai LeforMamoru Mitsuishi
Nov 4, 2020·Advances in Health Sciences Education : Theory and Practice·Martin G TolsgaardStefanie S Sebok-Syer
Mar 17, 2021·International Journal of Computer Assisted Radiology and Surgery·Alan Kawarai LeforMamoru Mitsuishi
Jan 16, 2021·Visceral Medicine·François ChadebecqDanail Stoyanov
Dec 4, 2021·Simulation in Healthcare : Journal of the Society for Simulation in Healthcare·David P AzariRobert G Radwin
Jul 12, 2021··Erwin WuSatoshi Kiyofuji

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