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 …

Artificial Intelligence to Support the Training and Assessment of Professionals: A Systematic Literature Review

M Albaladejo-González, JA Ruipérez-Valiente… - ACM Computing …, 2024 - dl.acm.org
Advances in Artificial Intelligence (AI) and sensors are significantly impacting multiple areas,
including education and workplaces. Following the PRISMA methodology, this review …

Performance and learning rate prediction models development in FLS and RAS surgical tasks using electroencephalogram and eye gaze data and machine learning

SB Shafiei, S Shadpour, X Intes, R Rahul, MS Toussi… - Surgical …, 2023 - Springer
Objective This study explored the use of electroencephalogram (EEG) and eye gaze
features, experience-related features, and machine learning to evaluate performance and …

3D autonomous surgeon's hand movement assessment using a cascaded fuzzy supervisor in multi-thread video processing

F Rashidi Fathabadi, JL Grantner, SA Shebrain… - Sensors, 2023 - mdpi.com
The purpose of the Fundamentals of Laparoscopic Surgery (FLS) training is to develop
laparoscopic surgery skills by using simulation experiences. Several advanced training …

Real-time Prediction of Students' Math Difficulties using Raw Data from Eye Tracking and Neural Networks

K Kennel, S Ruzika - Proceedings of the ACM on Human-Computer …, 2024 - dl.acm.org
Eye tracking technology in adaptive learning systems enhances diagnostic capabilities by
providing valuable insights into cognitive processes. This information can be leveraged to …

[HTML][HTML] Expert–Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism

T Seino, N Saito, T Ogawa, S Asamizu, M Haseyama - Sensors, 2024 - mdpi.com
In this study, we propose a classification method of expert–novice levels using a graph
convolutional network (GCN) with a confidence-aware node-level attention mechanism. In …

Autonomous sequential surgical skills assessment for the peg transfer task in a laparoscopic box-trainer system with three cameras

FR Fathabadi, JL Grantner, SA Shebrain… - Robotica, 2023 - cambridge.org
In laparoscopic surgery, surgeons should develop several manual laparoscopic skills before
carrying out real operative procedures using a low-cost box trainer. The Fundamentals of …

AIxSuture: vision-based assessment of open suturing skills

H Hoffmann, I Funke, P Peters, DK Venkatesh… - International Journal of …, 2024 - Springer
Purpose Efficient and precise surgical skills are essential in ensuring positive patient
outcomes. By continuously providing real-time, data driven, and objective evaluation of …

Autonomous Laparoscopic Surgeon's Skill Assessment Using a Fuzzy Supervisor and a Multi-Class Detection Framework

F Rashidi Fathabadi - 2024 - scholarworks.wmich.edu
For certain surgical procedures, Minimally Invasive Surgery (MIS) has become more
advantageous than traditional open surgery. Therefore, mastery of laparoscopic skills is an …

3D Automated Surgeon's Hand Motion Assessment Using a Cascade Fuzzy Supervisor During Intelligent Box-Trainer System Skill Straining in a Multi-Thread Video …

FR Fathabadi - 2024 - search.proquest.com
For certain surgical procedures, Minimally Invasive Surgery (MIS) has become more
advantageous than traditional open surgery. Therefore, mastery of laparoscopic skills is an …