The expanding role of artificial intelligence in collaborative robots for industrial applications: a systematic review of recent works

A Borboni, KVV Reddy, I Elamvazuthi, MS AL-Quraishi… - Machines, 2023 - mdpi.com
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 …

Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions

A Mansur, Z Saleem, T Elhakim, D Daye - Frontiers in Oncology, 2023 - frontiersin.org
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 …

[HTML][HTML] The dresden surgical anatomy dataset for abdominal organ segmentation in surgical data science

M Carstens, FM Rinner, S Bodenstedt, AC Jenke… - Scientific Data, 2023 - nature.com
Laparoscopy is an imaging technique that enables minimally-invasive procedures in various
medical disciplines including abdominal surgery, gynaecology and urology. To date …

[HTML][HTML] Artificial intelligence in colorectal cancer surgery: present and future perspectives

G Quero, P Mascagni, FR Kolbinger, C Fiorillo… - Cancers, 2022 - mdpi.com
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 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 …

[HTML][HTML] Anatomy segmentation in laparoscopic surgery: comparison of machine learning and human expertise–an experimental study

FR Kolbinger, FM Rinner, AC Jenke… - … Journal of Surgery, 2023 - journals.lww.com
Background: Lack of anatomy recognition represents a clinically relevant risk in abdominal
surgery. Machine learning (ML) methods can help identify visible patterns and risk …

Pixel-wise recognition for holistic surgical scene understanding

N Ayobi, S Rodríguez, A Pérez, I Hernández… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper presents the Holistic and Multi-Granular Surgical Scene Understanding of
Prostatectomies (GraSP) dataset, a curated benchmark that models surgical scene …

Latent graph representations for critical view of safety assessment

A Murali, D Alapatt, P Mascagni… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
Assessing the critical view of safety in laparoscopic cholecystectomy requires accurate
identification and localization of key anatomical structures, reasoning about their geometric …

UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation

R Hassan, MRH Mondal, SI Ahamed - Plos one, 2024 - journals.plos.org
Organ segmentation has become a preliminary task for computer-aided intervention,
diagnosis, radiation therapy, and critical robotic surgery. Automatic organ segmentation from …

Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models

FR Kolbinger, J He, J Ma, F Zhu - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Accurate identification and localization of anatomical structures of varying size and
appearance in laparoscopic imaging are necessary to leverage the potential of computer …