Artificial intelligence and automation in endoscopy and surgery
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …
displays to electronics connecting configurable illumination and actuation systems for …
[HTML][HTML] Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art
In the field of computer-and robot-assisted minimally invasive surgery, enormous progress
has been made in recent years based on the recognition of surgical instruments in …
has been made in recent years based on the recognition of surgical instruments in …
Holistic evaluation of gpt-4v for biomedical imaging
In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and
limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial …
limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial …
3D surgical instrument collection for computer vision and extended reality
The availability of computational hardware and developments in (medical) machine learning
(MML) increases medical mixed realities'(MMR) clinical usability. Medical instruments have …
(MML) increases medical mixed realities'(MMR) clinical usability. Medical instruments have …
SARAMIS: simulation assets for robotic assisted and minimally invasive surgery
Minimally-invasive surgery (MIS) and robot-assisted minimally invasive (RAMIS) surgery
offer well-documented benefits to patients such as reduced post-operative pain and shorter …
offer well-documented benefits to patients such as reduced post-operative pain and shorter …
Roadmap on industrial imaging techniques
Imaging plays a vital role in enabling the visualization and analysis of objects and
phenomena across various scientific disciplines and industrial sectors, spanning a wide …
phenomena across various scientific disciplines and industrial sectors, spanning a wide …
[HTML][HTML] Computer-vision based analysis of the neurosurgical scene–A systematic review
Introduction With increasing use of robotic surgical adjuncts, artificial intelligence and
augmented reality in neurosurgery, the automated analysis of digital images and videos …
augmented reality in neurosurgery, the automated analysis of digital images and videos …
Surgical optomics: hyperspectral imaging and deep learning towards precision intraoperative automatic tissue recognition—results from the EX-MACHYNA trial
Background Hyperspectral imaging (HSI), combined with machine learning, can help to
identify characteristic tissue signatures enabling automatic tissue recognition during surgery …
identify characteristic tissue signatures enabling automatic tissue recognition during surgery …
Deep Learning-Based Localization and Orientation Estimation of Pedicle Screws in Spinal Fusion Surgery
KH Kim, HW Koo, BJ Lee - Korean Journal of Neurotrauma, 2024 - pmc.ncbi.nlm.nih.gov
Objective This study investigated the application of a deep learning-based object detection
model for accurate localization and orientation estimation of spinal fixation surgical …
model for accurate localization and orientation estimation of spinal fixation surgical …
Anchor-Free Convolutional Neural Network Application to Enhance Real-Time Surgical Tool Detection in Computer-Aided Surgery
H Song, Z Zhao, K Liu, Y Wu, F Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Computer-aided surgery requires efficient real-time detection of surgical tools. The
respective technology should furnish real-time positions of different surgical tools for …
respective technology should furnish real-time positions of different surgical tools for …