Robot-assisted minimally invasive surgery—Surgical robotics in the data age

T Haidegger, S Speidel, D Stoyanov… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Telesurgical robotics, as a technical solution for robot-assisted minimally invasive surgery
(RAMIS), has become the first domain within medicosurgical robotics that achieved a true …

Technical skill assessment in minimally invasive surgery using artificial intelligence: a systematic review

R Pedrett, P Mascagni, G Beldi, N Padoy… - Surgical endoscopy, 2023 - Springer
Background Technical skill assessment in surgery relies on expert opinion. Therefore, it is
time-consuming, costly, and often lacks objectivity. Analysis of intraoperative data by artificial …

Deep learning based image processing for robot assisted surgery: a systematic literature survey

SM Hussain, A Brunetti, G Lucarelli, R Memeo… - IEEE …, 2022 - ieeexplore.ieee.org
The recent advancements in the surging field of Deep Learning (DL) have revolutionized
every sphere of life, and the healthcare domain is no exception. The enormous success of …

Evaluation of objective tools and artificial intelligence in robotic surgery technical skills assessment: a systematic review

MWE Boal, D Anastasiou, F Tesfai… - British Journal of …, 2024 - academic.oup.com
Background There is a need to standardize training in robotic surgery, including objective
assessment for accreditation. This systematic review aimed to identify objective tools for …

One-shot skill assessment in high-stakes domains with limited data via meta learning

E Yanik, S Schwaitzberg, G Yang, X Intes… - Computers in Biology …, 2024 - Elsevier
Deep Learning (DL) has achieved robust competency assessment in various high-stakes
fields. However, the applicability of DL models is often hampered by their substantial data …

Video-based formative and summative assessment of surgical tasks using deep learning

E Yanik, U Kruger, X Intes, R Rahul, S De - Scientific Reports, 2023 - nature.com
To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-
efficient, and preferentially automated—none of which is currently achievable. Video-based …

Exploring the limitations and implications of the jigsaws dataset for robot-assisted surgery

A Hendricks, M Panoff, K Xiao, Z Wang… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
The JHU-ISI Gesture and Skill Assessment Working Set (JIGSAWS) dataset has proven to
be a foundational component of modern work on the skill analysis of robotic surgeons. In …

Enhanced U-Net with GridMask (EUGNet): A Novel Approach for Robotic Surgical Tool Segmentation

M Daneshgar Rahbar, SZ Mousavi Mojab - Journal of Imaging, 2023 - mdpi.com
This study proposed enhanced U-Net with GridMask (EUGNet) image augmentation
techniques focused on pixel manipulation, emphasizing GridMask augmentation. This study …

CWT-ViT: A time–frequency representation and vision transformer-based framework for automated robotic surgical skill assessment

Y Zhang, Y Weng, B Wang - Expert Systems with Applications, 2024 - Elsevier
Surgical skill assessment currently hinges on the manual observations of senior surgeons,
and the assessment process is inherently time-consuming and subjective. Hence, there is a …

An automated skill assessment framework based on visual motion signals and a deep neural network in robot-assisted minimally invasive surgery

M Pan, S Wang, J Li, J Li, X Yang, K Liang - Sensors, 2023 - mdpi.com
Surgical skill assessment can quantify the quality of the surgical operation via the motion
state of the surgical instrument tip (SIT), which is considered one of the effective primary …