Artificial intelligence and robotics: a combination that is changing the operating room

I Andras, E Mazzone, FWB van Leeuwen… - World journal of …, 2020 - Springer
Purpose The aim of the current narrative review was to summarize the available evidence in
the literature on artificial intelligence (AI) methods that have been applied during robotic …

Surgical data recording in the operating room: a systematic review of modalities and metrics

M Levin, T McKechnie, CC Kruse… - British Journal of …, 2021 - academic.oup.com
Introduction Operating room recording, via video, audio and sensor-based recordings, is
increasingly common. Yet, surgical data science is a new field without clear guidelines. The …

Fully immersive virtual reality for total hip arthroplasty: objective measurement of skills and transfer of visuospatial performance after a competency-based simulation …

K Logishetty, WT Gofton, B Rudran, PE Beaulé… - JBJS, 2020 - journals.lww.com
Fully Immersive Virtual Reality for Total Hip Arthroplasty:... : JBJS Fully Immersive Virtual
Reality for Total Hip Arthroplasty: Objective Measurement of Skills and Transfer of Visuospatial …

Randomised controlled trial on robot‐assisted versus manual surgery for pucker peeling

K Faridpooya, SHM van Romunde… - Clinical & …, 2022 - Wiley Online Library
Background The aim was to explore the feasibility and safety of performing common surgical
steps in epiretinal membrane (ERM) peeling using the Preceyes Surgical System (PSS) …

Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying

KF Kowalewski, CR Garrow, MW Schmidt, L Benner… - Surgical …, 2019 - Springer
Introduction The most common way of assessing surgical performance is by expert raters to
view a surgical task and rate a trainee's performance. However, there is huge potential for …

Automated vision-based microsurgical skill analysis in neurosurgery using deep learning: development and preclinical validation

J Davids, SG Makariou, H Ashrafian, A Darzi… - World Neurosurgery, 2021 - Elsevier
Background/Objective Technical skill acquisition is an essential component of neurosurgical
training. Educational theory suggests that optimal learning and improvement in performance …

A computer vision technique for automated assessment of surgical performance using surgeons' console-feed videos

A Baghdadi, AA Hussein, Y Ahmed, LA Cavuoto… - International journal of …, 2019 - Springer
Purpose To develop and validate an automated assessment of surgical performance (AASP)
system for objective and computerized assessment of pelvic lymph node dissection (PLND) …

Moving object tracking in clinical scenarios: application to cardiac surgery and cerebral aneurysm clipping

SP Dakua, J Abinahed, A Zakaria… - International Journal of …, 2019 - Springer
Background and objectives Surgical procedures such as laparoscopic and robotic surgeries
are popular since they are invasive in nature and use miniaturized surgical instruments for …

[HTML][HTML] Vision-based tracking of surgical motion during live open-heart surgery

M Stenmark, E Omerbašić, M Magnusson… - Journal of Surgical …, 2022 - Elsevier
Background Motion tracking during live surgeries may be used to assess surgeons' intra-
operative performance, provide feedback, and predict outcome. Current assessment …

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 …