[HTML][HTML] Artificial Intelligence in Surgical training for kidney Cancer: a systematic review of the literature

N Rodriguez Peñaranda, A Eissa, S Ferretti, G Bianchi… - Diagnostics, 2023 - mdpi.com
The prevalence of renal cell carcinoma (RCC) is increasing due to advanced imaging
techniques. Surgical resection is the standard treatment, involving complex radical and …

[HTML][HTML] Improving augmented reality through deep learning: real-time instrument delineation in robotic renal surgery

P De Backer, C Van Praet, J Simoens, MP Lores… - European Urology, 2023 - Elsevier
Several barriers prevent the integration and adoption of augmented reality (AR) in robotic
renal surgery despite the increased availability of virtual three-dimensional (3D) models …

[HTML][HTML] Current applications of artificial intelligence-based computer vision in laparoscopic surgery

K Guo, H Tao, Y Zhu, B Li, C Fang, Y Qian… - … , Endoscopic and Robotic …, 2023 - Elsevier
Recent advances in artificial intelligence (AI) have sparked a surge in the application of
computer vision (CV) in surgical video analysis. Laparoscopic surgery produces a large …

First‐in‐human real‐time AI‐assisted instrument deocclusion during augmented reality robotic surgery

J Hofman, P De Backer, I Manghi… - Healthcare …, 2024 - Wiley Online Library
Abstract The integration of Augmented Reality (AR) into daily surgical practice is withheld by
the correct registration of pre‐operative data. This includes intelligent 3D model …

[HTML][HTML] A new mixed reality tool for training in minimally invasive robotic-assisted surgery

S Casas-Yrurzum, J Gimeno… - … information science and …, 2023 - Springer
Robotic-assisted surgery (RAS) is developing an increasing role in surgical practice.
Therefore, it is of the utmost importance to introduce this paradigm into surgical training …

[HTML][HTML] Development of bleeding artificial intelligence detector (BLAIR) system for robotic radical prostatectomy

E Checcucci, P Piazzolla, G Marullo… - Journal of Clinical …, 2023 - mdpi.com
Background: Addressing intraoperative bleeding remains a significant challenge in the field
of robotic surgery. This research endeavors to pioneer a groundbreaking solution utilizing …

Exploring the impact of artificial intelligence on global health and enhancing healthcare in developing nations

V Zuhair, A Babar, R Ali, MO Oduoye… - Journal of Primary …, 2024 - journals.sagepub.com
Background: Artificial intelligence (AI), which combines computer science with extensive
datasets, seeks to mimic human-like intelligence. Subsets of AI are being applied in almost …

Generative artificial intelligence in surgery

S Rodler, C Ganjavi, P De Backer, V Magoulianitis… - Surgery, 2024 - Elsevier
Generative artificial intelligence is able to collect, extract, digest, and generate information in
an understandable way for humans. As the first surgical applications of generative artificial …

[HTML][HTML] Privacy-proof live surgery streaming: development and validation of a low-cost, real-time robotic surgery anonymization algorithm

P De Backer, J Simoens, K Mestdagh, J Hofman… - Annals of …, 2024 - journals.lww.com
Objective: Develop a pioneer surgical anonymization algorithm for reliable and accurate real-
time removal of out-of-body images validated across various robotic platforms. Background …

[HTML][HTML] Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance

P De Backer, M Peraire Lores, M Demuynck… - Diagnostics, 2023 - mdpi.com
(1) Background: Surgical phases form the basic building blocks for surgical skill assessment,
feedback, and teaching. The phase duration itself and its correlation with clinical parameters …