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 …

Skill-oriented and performance-driven adaptive curricula for training in robot-assisted surgery using simulators: A feasibility study

A Mariani, E Pellegrini… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Objective: Virtual Reality (VR) simulators represent a remarkable educational opportunity in
order to acquire and refine surgical practical skills. Nevertheless, there exists no consensus …

Surgical skill assessment via video semantic aggregation

Z Li, L Gu, W Wang, R Nakamura, Y Sato - International Conference on …, 2022 - Springer
Automated video-based assessment of surgical skills is a promising task in assisting young
surgical trainees, especially in poor-resource areas. Existing works often resort to a CNN …

Rethinking autonomous surgery: focusing on enhancement over autonomy

E Battaglia, J Boehm, Y Zheng, AR Jamieson… - European urology …, 2021 - Elsevier
Context As robot-assisted surgery is increasingly used in surgical care, the engineering
research effort towards surgical automation has also increased significantly. Automation …

Development of performance and learning rate evaluation models in robot-assisted surgery using electroencephalography and eye-tracking

SB Shafiei, S Shadpour, F Sasangohar… - npj Science of …, 2024 - nature.com
The existing performance evaluation methods in robot-assisted surgery (RAS) are mainly
subjective, costly, and affected by shortcomings such as the inconsistency of results and …

Objective and automated assessment of surgical technical skills with IoT systems: A systematic literature review

P Castillo-Segura, C Fernández-Panadero… - Artificial Intelligence in …, 2021 - Elsevier
The assessment of surgical technical skills to be acquired by novice surgeons has been
traditionally done by an expert surgeon and is therefore of a subjective nature. Nevertheless …

Artificial intelligence in urological oncology: An update and future applications

A Brodie, N Dai, JYC Teoh, K Decaestecker… - … Oncology: Seminars and …, 2021 - Elsevier
There continues to be rapid developments and research in the field of Artificial Intelligence
(AI) in Urological Oncology worldwide. In this review we discuss the basics of AI, application …

An intelligent augmented reality training framework for neonatal endotracheal intubation

S Zhao, X Xiao, Q Wang, X Zhang, W Li… - … on Mixed and …, 2020 - ieeexplore.ieee.org
Neonatal Endotracheal Intubation (ETI) is a critical resuscitation skill that requires
tremendous practice of trainees before clinical exposure. However, current manikin-based …

Recognition and prediction of surgical gestures and trajectories using transformer models in robot-assisted surgery

C Shi, Y Zheng, AM Fey - 2022 IEEE/RSJ International …, 2022 - ieeexplore.ieee.org
Surgical activity recognition and prediction can help provide important context in many
Robot-Assisted Surgery (RAS) applications, for example, surgical progress monitoring and …

Artificial intelligence in surgery: the future is now

H Ashrafiana - Eur Surg Res, 2024 - karger.com
Background: Clinical artificial intelligence (AI) has reached a critical inflection point.
Advances in algorithmic science and increased understanding of operational considerations …