Machine and deep learning for workflow recognition during surgery

N Padoy - Minimally Invasive Therapy & Allied Technologies, 2019 - Taylor & Francis
Recent years have seen tremendous progress in artificial intelligence (AI), such as with the
automatic and real-time recognition of objects and activities in videos in the field of computer …

Computer vision in surgery

TM Ward, P Mascagni, Y Ban, G Rosman, N Padoy… - Surgery, 2021 - Elsevier
The fields of computer vision (CV) and artificial intelligence (AI) have undergone rapid
advancements in the past decade, many of which have been applied to the analysis of …

Automatic operating room surgical activity recognition for robot-assisted surgery

A Sharghi, H Haugerud, D Oh, O Mohareri - Medical Image Computing …, 2020 - Springer
Automatic recognition of surgical activities in the operating room (OR) is a key technology for
creating next generation intelligent surgical devices and workflow monitoring/support …

A review on deep learning in minimally invasive surgery

I Rivas-Blanco, CJ Perez-Del-Pulgar… - IEEE …, 2021 - ieeexplore.ieee.org
In the last five years, deep learning has attracted great interest in computer-assisted systems
for Minimally Invasive Surgery. The straightforward accessibility to images in surgical …

[HTML][HTML] Automated laparoscopic colorectal surgery workflow recognition using artificial intelligence: experimental research

D Kitaguchi, N Takeshita, H Matsuzaki, T Oda… - International journal of …, 2020 - Elsevier
Background Identifying laparoscopic surgical videos using artificial intelligence (AI)
facilitates the automation of several currently time-consuming manual processes, including …

Automatic data-driven real-time segmentation and recognition of surgical workflow

O Dergachyova, D Bouget, A Huaulmé… - International journal of …, 2016 - Springer
Purpose With the intention of extending the perception and action of surgical staff inside the
operating room, the medical community has expressed a growing interest towards context …

Video-based surgical skill assessment using 3D convolutional neural networks

I Funke, ST Mees, J Weitz, S Speidel - International journal of computer …, 2019 - Springer
Purpose A profound education of novice surgeons is crucial to ensure that surgical
interventions are effective and safe. One important aspect is the teaching of technical skills …

Using 3D convolutional neural networks to learn spatiotemporal features for automatic surgical gesture recognition in video

I Funke, S Bodenstedt, F Oehme… - … conference on medical …, 2019 - Springer
Automatically recognizing surgical gestures is a crucial step towards a thorough
understanding of surgical skill. Possible areas of application include automatic skill …

Impact of data on generalization of AI for surgical intelligence applications

O Bar, D Neimark, M Zohar, GD Hager, R Girshick… - Scientific reports, 2020 - nature.com
AI is becoming ubiquitous, revolutionizing many aspects of our lives. In surgery, it is still a
promise. AI has the potential to improve surgeon performance and impact patient care, from …

VisionBlender: a tool to efficiently generate computer vision datasets for robotic surgery

J Cartucho, S Tukra, Y Li, D S. Elson… - Computer Methods in …, 2021 - Taylor & Francis
Surgical robots rely on robust and efficient computer vision algorithms to be able to
intervene in real-time. The main problem, however, is that the training or testing of such …