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The expanding role of artificial intelligence in collaborative robots for industrial applications: a systematic review of recent works
A collaborative robot, or cobot, enables users to work closely with it through direct
communication without the use of traditional barricades. Cobots eliminate the gap that has …
communication without the use of traditional barricades. Cobots eliminate the gap that has …
Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions
Artificial Intelligence (AI) is a branch of computer science that utilizes optimization,
probabilistic and statistical approaches to analyze and make predictions based on a vast …
probabilistic and statistical approaches to analyze and make predictions based on a vast …
[HTML][HTML] The dresden surgical anatomy dataset for abdominal organ segmentation in surgical data science
Laparoscopy is an imaging technique that enables minimally-invasive procedures in various
medical disciplines including abdominal surgery, gynaecology and urology. To date …
medical disciplines including abdominal surgery, gynaecology and urology. To date …
[HTML][HTML] Artificial intelligence in colorectal cancer surgery: present and future perspectives
Simple Summary Computer vision (CV) is a field of artificial intelligence (AI) that deals with
the automatic analysis of videos and images. Recent advances in AI and CV methods …
the automatic analysis of videos and images. Recent advances in AI and CV methods …
The use and future perspective of Artificial Intelligence—A survey among German surgeons
M Pecqueux, C Riediger, M Distler, F Oehme… - Frontiers in public …, 2022 - frontiersin.org
Purpose Clinical abundance of artificial intelligence has increased significantly in the last
decade. This survey aims to provide an overview of the current state of knowledge and …
decade. This survey aims to provide an overview of the current state of knowledge and …
[HTML][HTML] Anatomy segmentation in laparoscopic surgery: comparison of machine learning and human expertise–an experimental study
Background: Lack of anatomy recognition represents a clinically relevant risk in abdominal
surgery. Machine learning (ML) methods can help identify visible patterns and risk …
surgery. Machine learning (ML) methods can help identify visible patterns and risk …
Pixel-wise recognition for holistic surgical scene understanding
This paper presents the Holistic and Multi-Granular Surgical Scene Understanding of
Prostatectomies (GraSP) dataset, a curated benchmark that models surgical scene …
Prostatectomies (GraSP) dataset, a curated benchmark that models surgical scene …
Latent graph representations for critical view of safety assessment
Assessing the critical view of safety in laparoscopic cholecystectomy requires accurate
identification and localization of key anatomical structures, reasoning about their geometric …
identification and localization of key anatomical structures, reasoning about their geometric …
UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation
Organ segmentation has become a preliminary task for computer-aided intervention,
diagnosis, radiation therapy, and critical robotic surgery. Automatic organ segmentation from …
diagnosis, radiation therapy, and critical robotic surgery. Automatic organ segmentation from …
Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models
Accurate identification and localization of anatomical structures of varying size and
appearance in laparoscopic imaging are necessary to leverage the potential of computer …
appearance in laparoscopic imaging are necessary to leverage the potential of computer …