CholecTriplet2022: Show me a tool and tell me the triplet—An endoscopic vision challenge for surgical action triplet detection

CI Nwoye, T Yu, S Sharma, A Murali, D Alapatt… - Medical Image …, 2023 - Elsevier
Formalizing surgical activities as triplets of the used instruments, actions performed, and
target anatomies is becoming a gold standard approach for surgical activity modeling. The …

A computer vision system for deep learning-based detection of patient mobilization activities in the ICU

S Yeung, F Rinaldo, J Jopling, B Liu, R Mehra… - NPJ digital …, 2019 - nature.com
Early and frequent patient mobilization substantially mitigates risk for post-intensive care
syndrome and long-term functional impairment. We developed and tested computer vision …

Digital health technology-specific risks for medical malpractice liability

SP Rowland, JE Fitzgerald, M Lungren, E Lee… - NPJ Digital …, 2022 - nature.com
Medical professionals are increasingly required to use digital technologies as part of care
delivery and this may represent a risk for medical error and subsequent malpractice liability …

Evaluation of surgical skills during robotic surgery by deep learning-based multiple surgical instrument tracking in training and actual operations

D Lee, HW Yu, H Kwon, HJ Kong, KE Lee… - Journal of clinical …, 2020 - mdpi.com
As the number of robotic surgery procedures has increased, so has the importance of
evaluating surgical skills in these techniques. It is difficult, however, to automatically and …

Computer vision in the operating room: Opportunities and caveats

LR Kennedy-Metz, P Mascagni… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Effectiveness of computer vision techniques has been demonstrated through a number of
applications, both within and outside healthcare. The operating room environment …

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 …

Autonomous recognition of multiple surgical instruments tips based on arrow OBB-YOLO network

J Peng, Q Chen, L Kang, H Jie… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In surgery, the robot can automatically adjust the endoscope to ensure the stability of the
surgical image and reduce the burden on the doctor. It is becoming a research hotspot of …

RASNet: Segmentation for tracking surgical instruments in surgical videos using refined attention segmentation network

ZL Ni, GB Bian, XL Xie, ZG Hou… - 2019 41st annual …, 2019 - ieeexplore.ieee.org
Segmentation for tracking surgical instruments plays an important role in robot-assisted
surgery. Segmentation of surgical instruments contributes to capturing accurate spatial …

OR black box and surgical control tower: recording and streaming data and analytics to improve surgical care

P Mascagni, N Padoy - Journal of Visceral Surgery, 2021 - Elsevier
Effective and safe surgery results from a complex sociotechnical process prone to human
error. Acquiring large amount of data on surgical care and modelling the process of surgery …

Revisiting distillation for continual learning on visual question localized-answering in robotic surgery

L Bai, M Islam, H Ren - … Conference on Medical Image Computing and …, 2023 - Springer
The visual-question localized-answering (VQLA) system can serve as a knowledgeable
assistant in surgical education. Except for providing text-based answers, the VQLA system …