[HTML][HTML] A systematic review on artificial intelligence in robot-assisted surgery

A Moglia, K Georgiou, E Georgiou, RM Satava… - International Journal of …, 2021 - Elsevier
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 …

Evolving robotic surgery training and improving patient safety, with the integration of novel technologies

IHA Chen, A Ghazi, A Sridhar, D Stoyanov… - World journal of …, 2021 - Springer
Introduction Robot-assisted surgery is becoming increasingly adopted by multiple surgical
specialties. There is evidence of inherent risks of utilising new technologies that are …

The role of AI technology in prediction, diagnosis and treatment of colorectal cancer

C Yu, EJ Helwig - Artificial intelligence review, 2022 - Springer
Artificial intelligence (AI) is a fascinating new technology that incorporates machine learning
and neural networks to improve existing technology or create new ones. Potential …

Exploring the use of artificial intelligence in the management of prostate cancer

TN Chu, EY Wong, R Ma, CH Yang, IS Dalieh… - Current Urology …, 2023 - Springer
Abstract Purpose of Review This review aims to explore the current state of research on the
use of artificial intelligence (AI) in the management of prostate cancer. We examine the …

Current trends in artificial intelligence application for endourology and robotic surgery

TC Chang, C Seufert, O Eminaga, E Shkolyar… - Urologic …, 2021 - urologic.theclinics.com
First introduced 6 decades ago, artificial intelligence (AI) is a computational tool that
reproduces or simulates human intellectual processes such as problem solving, reasoning …

Machine learning in the optimization of robotics in the operative field

R Ma, EB Vanstrum, R Lee, J Chen… - Current opinion in …, 2020 - journals.lww.com
Robot-assisted urologic surgery coupled with machine learning is a burgeoning area of
study that demonstrates exciting potential. However, further validation and clinical trials are …

How to bring surgery to the next level: interpretable skills assessment in robotic-assisted surgery

KC Brown, KD Bhattacharyya, S Kulason, A Zia… - Visceral …, 2020 - karger.com
Introduction: A surgeon's technical skills are an important factor in delivering optimal patient
care. Most existing methods to estimate technical skills remain subjective and resource …

[HTML][HTML] Structured resident training in robotic surgery: recommendations of the robotic surgery education Working Group

JR Porterfield Jr, D Podolsky, C Ballecer… - Journal of surgical …, 2024 - Elsevier
Objective A universal resident robotic surgery training pathway that maximizes proficiency
and safety has not been defined by a consensus of surgical educators or by surgical …

Real-time context-aware detection of unsafe events in robot-assisted surgery

MS Yasar, H Alemzadeh - 2020 50th Annual IEEE/IFIP …, 2020 - ieeexplore.ieee.org
Cyber-physical systems for robotic surgery have enabled minimally invasive procedures
with increased precision and shorter hospitalization. However, with increasing complexity …

Systematic review of machine learning applications using nonoptical motion tracking in surgery

TZ Carciumaru, CM Tang, M Farsi, WM Bramer… - npj Digital …, 2025 - nature.com
This systematic review explores machine learning (ML) applications in surgical motion
analysis using non-optical motion tracking systems (NOMTS), alone or with optical methods …