Machine learning for technical skill assessment in surgery: a systematic review

K Lam, J Chen, Z Wang, FM Iqbal, A Darzi, B Lo… - NPJ digital …, 2022 - nature.com
Accurate and objective performance assessment is essential for both trainees and certified
surgeons. However, existing methods can be time consuming, labor intensive, and subject …

Accelerating surgical robotics research: A review of 10 years with the da vinci research kit

C D'Ettorre, A Mariani, A Stilli… - IEEE Robotics & …, 2021 - ieeexplore.ieee.org
Robotic-assisted surgery is now well established in clinical practice and has become the
gold-standard clinical treatment option for several clinical indications. The field of robotic …

Skit: a fast key information video transformer for online surgical phase recognition

Y Liu, J Huo, J Peng, R Sparks… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper introduces SKiT, a fast Key information Transformer for phase recognition of
videos. Unlike previous methods that rely on complex models to capture long-term temporal …

[HTML][HTML] Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the heichole benchmark

M Wagner, BP Müller-Stich, A Kisilenko, D Tran… - Medical Image …, 2023 - Elsevier
Purpose Surgical workflow and skill analysis are key technologies for the next generation of
cognitive surgical assistance systems. These systems could increase the safety of the …

[HTML][HTML] Lovit: Long video transformer for surgical phase recognition

Y Liu, M Boels, LC Garcia-Peraza-Herrera… - Medical Image …, 2025 - Elsevier
Online surgical phase recognition plays a significant role towards building contextual tools
that could quantify performance and oversee the execution of surgical workflows. Current …

Gesture recognition in robotic surgery with multimodal attention

B Van Amsterdam, I Funke, E Edwards… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
Automatically recognising surgical gestures from surgical data is an important building block
of automated activity recognition and analytics, technical skill assessment, intra-operative …

[BOK][B] Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1 …

M De Bruijne, PC Cattin, S Cotin, N Padoy, S Speidel… - 2021 - books.google.com
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908
constitutes the refereed proceedings of the 24th International Conference on Medical Image …

An introduction to robotically assisted surgical systems: current developments and focus areas of research

J Klodmann, C Schlenk, A Hellings-Kuß, T Bahls… - Current Robotics …, 2021 - Springer
Abstract Purpose of Review Robotic assistance systems for diagnosis and therapy have
become technically mature and widely available. Thus, they play an increasingly important …

Challenges in surgical video annotation

TM Ward, DM Fer, Y Ban, G Rosman… - Computer Assisted …, 2021 - Taylor & Francis
Annotation of surgical video is important for establishing ground truth in surgical data
science endeavors that involve computer vision. With the growth of the field over the last …

Surgical tool datasets for machine learning research: a survey

M Rodrigues, M Mayo, P Patros - International Journal of Computer Vision, 2022 - Springer
This paper is a comprehensive survey of datasets for surgical tool detection and related
surgical data science and machine learning techniques and algorithms. The survey offers a …