Objective and automated assessment of surgical technical skills with IoT systems: A systematic literature review

P Castillo-Segura, C Fernández-Panadero… - Artificial Intelligence in …, 2021 - Elsevier
The assessment of surgical technical skills to be acquired by novice surgeons has been
traditionally done by an expert surgeon and is therefore of a subjective nature. Nevertheless …

Enhancing surgical performance in cardiothoracic surgery with innovations from computer vision and artificial intelligence: a narrative review

MD Constable, HPH Shum, S Clark - Journal of Cardiothoracic Surgery, 2024 - Springer
When technical requirements are high, and patient outcomes are critical, opportunities for
monitoring and improving surgical skills via objective motion analysis feedback may be …

Modeling surgical technical skill using expert assessment for automated computer rating

DP Azari, LL Frasier, SRP Quamme… - Annals of …, 2019 - journals.lww.com
Objective: Computer vision was used to predict expert performance ratings from surgeon
hand motions for tying and suturing tasks. Summary Background Data: Existing methods …

Gaze entropy reflects surgical task load

LL Di Stasi, C Diaz-Piedra, H Rieiro… - Surgical …, 2016 - Springer
Background Task (over-) load imposed on surgeons is a main contributing factor to surgical
errors. Recent research has shown that gaze metrics represent a valid and objective index …

Video-based fully automatic assessment of open surgery suturing skills

A Goldbraikh, AL D'Angelo, CM Pugh… - International Journal of …, 2022 - Springer
Purpose The goal of this study was to develop a new reliable open surgery suturing
simulation system for training medical students in situations where resources are limited or …

Motion analysis for better understanding of psychomotor skills in laparoscopy: objective assessment-based simulation training using animal organs

K Ebina, T Abe, M Higuchi, J Furumido, N Iwahara… - Surgical …, 2021 - Springer
Background Our aim was to characterize the motions of multiple laparoscopic surgical
instruments among participants with different levels of surgical experience in a series of wet …

A stretchable gold nanowire sensor and its characterization using machine learning for motion tracking

XA Nguyen, S Gong, W Cheng… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Motion analysis techniques are well-known for quantitative and objective human skills
evaluation in various applications, including sport and medical skills training and …

Assessment of surgical skills by using surgical navigation in robot-assisted partial nephrectomy

S Kobayashi, B Cho, A Huaulmé, K Tatsugami… - International journal of …, 2019 - Springer
Purpose To assess surgical skills in robot-assisted partial nephrectomy (RAPN) with and
without surgical navigation (SN). Methods We employed an SN system that synchronizes the …

Using open surgery simulation kinematic data for tool and gesture recognition

A Goldbraikh, T Volk, CM Pugh, S Laufer - International journal of …, 2022 - Springer
Purpose The use of motion sensors is emerging as a means for measuring surgical
performance. Motion sensors are typically used for calculating performance metrics and …

Implementation of Artificial Intelligence–Based Computer Vision Model for Sleeve Gastrectomy: Experience in One Tertiary Center

D Dayan - Obesity Surgery, 2024 - Springer
Introduction Sleeve gastrectomy (SG) is the most common metabolic and bariatric procedure
performed. Leveraging artificial intelligence (AI) for automated real-time data structuring and …