Artificial intelligence in surgery: promises and perils

DA Hashimoto, G Rosman, D Rus… - Annals of surgery, 2018 - journals.lww.com
Objective: The aim of this review was to summarize major topics in artificial intelligence (AI),
including their applications and limitations in surgery. This paper reviews the key …

Application of artificial intelligence in surgery

XY Zhou, Y Guo, M Shen, GZ Yang - Frontiers of medicine, 2020 - Springer
Artificial intelligence (AI) is gradually changing the practice of surgery with technological
advancements in imaging, navigation, and robotic intervention. In this article, we review the …

A vision transformer for decoding surgeon activity from surgical videos

D Kiyasseh, R Ma, TF Haque, BJ Miles… - Nature biomedical …, 2023 - nature.com
The intraoperative activity of a surgeon has substantial impact on postoperative outcomes.
However, for most surgical procedures, the details of intraoperative surgical actions, which …

Endonet: a deep architecture for recognition tasks on laparoscopic videos

AP Twinanda, S Shehata, D Mutter… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Surgical workflow recognition has numerous potential medical applications, such as the
automatic indexing of surgical video databases and the optimization of real-time operating …

[PDF][PDF] Jhu-isi gesture and skill assessment working set (jigsaws): A surgical activity dataset for human motion modeling

Y Gao, SS Vedula, CE Reiley, N Ahmidi… - MICCAI workshop …, 2014 - cirl.lcsr.jhu.edu
Dexterous surgical activity is of interest to many researchers in human motion modeling. In
this paper, we describe a dataset of surgical activities and release it for public use. The …

Multi-task recurrent convolutional network with correlation loss for surgical video analysis

Y Jin, H Li, Q Dou, H Chen, J Qin, CW Fu… - Medical image analysis, 2020 - Elsevier
Surgical tool presence detection and surgical phase recognition are two fundamental yet
challenging tasks in surgical video analysis as well as very essential components in various …

Segmental spatiotemporal cnns for fine-grained action segmentation

C Lea, A Reiter, R Vidal, GD Hager - … 11-14, 2016, Proceedings, Part III 14, 2016 - Springer
Joint segmentation and classification of fine-grained actions is important for applications of
human-robot interaction, video surveillance, and human skill evaluation. However, despite …

A dataset and benchmarks for segmentation and recognition of gestures in robotic surgery

N Ahmidi, L Tao, S Sefati, Y Gao, C Lea… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Objective: State-of-the-art techniques for surgical data analysis report promising results for
automated skill assessment and action recognition. The contributions of many of these …

Toward robotic manipulation

MT Mason - Annual Review of Control, Robotics, and …, 2018 - annualreviews.org
This article surveys manipulation, including both biological and robotic manipulation.
Biology inspires robotics and demonstrates aspects of manipulation that are far in the future …

Temporal memory relation network for workflow recognition from surgical video

Y Jin, Y Long, C Chen, Z Zhao, Q Dou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Automatic surgical workflow recognition is a key component for developing context-aware
computer-assisted systems in the operating theatre. Previous works either jointly modeled …