[HTML][HTML] A systematic review on artificial intelligence in robot-assisted surgery
Background Despite the extensive published literature on the significant potential of artificial
intelligence (AI) there are no reports on its efficacy in improving patient safety in robot …
intelligence (AI) there are no reports on its efficacy in improving patient safety in robot …
[HTML][HTML] Artificial intelligence in surgery: the future is now
Background: Clinical artificial intelligence (AI) has reached a critical inflection point.
Advances in algorithmic science and increased understanding of operational considerations …
Advances in algorithmic science and increased understanding of operational considerations …
Tsa-net: Tube self-attention network for action quality assessment
In recent years, assessing action quality from videos has attracted growing attention in
computer vision community and human-computer interaction. Most existing approaches …
computer vision community and human-computer interaction. Most existing approaches …
Video and accelerometer-based motion analysis for automated surgical skills assessment
Purpose Basic surgical skills of suturing and knot tying are an essential part of medical
training. Having an automated system for surgical skills assessment could help save experts …
training. Having an automated system for surgical skills assessment could help save experts …
Automated surgical instrument detection from laparoscopic gastrectomy video images using an open source convolutional neural network platform
Y Yamazaki, S Kanaji, T Matsuda… - Journal of the …, 2020 - journals.lww.com
BACKGROUND: The common use of laparoscopic intervention produces impressive
amounts of video data that are difficult to review for surgeons wishing to evaluate and …
amounts of video data that are difficult to review for surgeons wishing to evaluate and …
CPR-Coach: Recognizing composite error actions based on single-class training
Fine-grained medical action analysis plays a vital role in improving medical skill training
efficiency but it faces the problems of data and algorithm shortage. Cardiopulmonary …
efficiency but it faces the problems of data and algorithm shortage. Cardiopulmonary …
Robot-assisted minimally invasive surgical skill assessment—Manual and automated platforms
R Nagyné Elek, T Haidegger - Acta Polytechnica Hungarica, 2019 - real.mtak.hu
The practice of Robot-Assisted Minimally Invasive Surgery (RAMIS) requires extensive skills
from the human surgeons due to the special input device control, such as moving the …
from the human surgeons due to the special input device control, such as moving the …
Surgical activity recognition in robot-assisted radical prostatectomy using deep learning
Adverse surgical outcomes are costly to patients and hospitals. Approaches to benchmark
surgical care are often limited to gross measures across the entire procedure despite the …
surgical care are often limited to gross measures across the entire procedure despite the …
Robotics‐assisted versus conventional manual approaches for total hip arthroplasty: A systematic review and meta‐analysis of comparative studies
P Han, C Chen, Z Zhang, Y Han, L Wei… - … Journal of Medical …, 2019 - Wiley Online Library
Background Several studies have compared robotics‐assisted (RA) and conventional
manual (CM) approaches for total hip arthroplasty (THA), but their results are controversial …
manual (CM) approaches for total hip arthroplasty (THA), but their results are controversial …
Temporal segmentation of surgical sub-tasks through deep learning with multiple data sources
Many tasks in robot-assisted surgeries (RAS) can be represented by finite-state machines
(FSMs), where each state represents either an action (such as picking up a needle) or an …
(FSMs), where each state represents either an action (such as picking up a needle) or an …