Video-based fully automatic assessment of open surgery suturing skills
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 …
simulation system for training medical students in situations where resources are limited or …
[HTML][HTML] Artificial Intelligence for context-aware surgical guidance in complex robot-assisted oncological procedures: An exploratory feasibility study
FR Kolbinger, S Bodenstedt, M Carstens… - European Journal of …, 2023 - Elsevier
Introduction Complex oncological procedures pose various surgical challenges including
dissection in distinct tissue planes and preservation of vulnerable anatomical structures …
dissection in distinct tissue planes and preservation of vulnerable anatomical structures …
Surgical action triplet detection by mixed supervised learning of instrument-tissue interactions
Surgical action triplets describe instrument-tissue interactions as< instrument, verb, target>
combinations, thereby supporting a detailed analysis of surgical scene activities and …
combinations, thereby supporting a detailed analysis of surgical scene activities and …
A selective mitigation technique of soft errors for dnn models used in healthcare applications: Densenet201 case study
Deep neural networks (DNNs) have been successfully deployed in widespread domains,
including healthcare applications. DenseNet201 is a new DNN architecture used in …
including healthcare applications. DenseNet201 is a new DNN architecture used in …
Graph convolutional nets for tool presence detection in surgical videos
Surgical tool presence detection is one of the key problems in automatic surgical video
content analysis. Solving this problem benefits many applications such as the evaluation of …
content analysis. Solving this problem benefits many applications such as the evaluation of …
A contextual detector of surgical tools in laparoscopic videos using deep learning
Background The complexity of laparoscopy requires special training and assessment.
Analyzing the streaming videos during the surgery can potentially improve surgical …
Analyzing the streaming videos during the surgery can potentially improve surgical …
Rendezvous in time: an attention-based temporal fusion approach for surgical triplet recognition
Purpose One of the recent advances in surgical AI is the recognition of surgical activities as
triplets of⟨ instrument, verb, target⟩. Albeit providing detailed information for computer …
triplets of⟨ instrument, verb, target⟩. Albeit providing detailed information for computer …
Artificial intelligence identifies factors associated with blood loss and surgical experience in cholecystectomy
Background Laparoscopic surgery videos offer valuable insights into the intraoperative skills
of surgeons. Traditionally, skill assessment has focused on trainees, but analyzing the …
of surgeons. Traditionally, skill assessment has focused on trainees, but analyzing the …
Identifying surgical instruments in laparoscopy using deep learning instance segmentation
S Kletz, K Schoeffmann… - … on Content-Based …, 2019 - ieeexplore.ieee.org
Recorded videos from surgeries have become an increasingly important information source
for the field of medical endoscopy, since the recorded footage shows every single detail of …
for the field of medical endoscopy, since the recorded footage shows every single detail of …
[PDF][PDF] Box-trainer assessment system with real-time multi-class detection and tracking of laparoscopic instruments, using CNN
FR Fathabadi, JL Grantner, I Abdel-Qader… - Acta Polytechnica …, 2022 - real-j.mtak.hu
In Minimally Invasive Surgery (MIS), surgeons need to acquire a specific set of skills, before
carrying out a “real” operation. Training with the Laparoscopic Surgical Box-Trainer device …
carrying out a “real” operation. Training with the Laparoscopic Surgical Box-Trainer device …