Evaluation status of current and emerging minimally invasive robotic surgical platforms
M Boal, CG Di Girasole, F Tesfai, TEM Morrison… - Surgical …, 2024 - Springer
Background The rapid adoption of robotics within minimally invasive surgical specialties has
also seen an explosion of new technology including multi-and single port, natural orifice …
also seen an explosion of new technology including multi-and single port, natural orifice …
[HTML][HTML] Artificial intelligence for renal cancer: From imaging to histology and beyond
KF Kowalewski, L Egen, CE Fischetti, S Puliatti… - Asian Journal of …, 2022 - Elsevier
Artificial intelligence (AI) has made considerable progress within the last decade and is the
subject of contemporary literature. This trend is driven by improved computational abilities …
subject of contemporary literature. This trend is driven by improved computational abilities …
Robot-assisted partial nephrectomy mid-term oncologic outcomes: a systematic review
MD Vartolomei, M Remzi, H Fajkovic… - Journal of Clinical …, 2022 - mdpi.com
Background: Robot-assisted partial nephrectomy (RAPN) is used more and more in present
days as a therapy option for surgical treatment of cT1 renal masses. Current guidelines …
days as a therapy option for surgical treatment of cT1 renal masses. Current guidelines …
Evaluation of objective tools and artificial intelligence in robotic surgery technical skills assessment: a systematic review
MWE Boal, D Anastasiou, F Tesfai… - British Journal of …, 2024 - academic.oup.com
Background There is a need to standardize training in robotic surgery, including objective
assessment for accreditation. This systematic review aimed to identify objective tools for …
assessment for accreditation. This systematic review aimed to identify objective tools for …
Review of automated performance metrics to assess surgical technical skills in robot-assisted laparoscopy
Introduction Robot-assisted laparoscopy is a safe surgical approach with several studies
suggesting correlations between complication rates and the surgeon's technical skills …
suggesting correlations between complication rates and the surgeon's technical skills …
Deep learning prediction of error and skill in robotic prostatectomy suturing
N Sirajudeen, M Boal, D Anastasiou, J Xu… - Surgical …, 2024 - Springer
Background Manual objective assessment of skill and errors in minimally invasive surgery
have been validated with correlation to surgical expertise and patient outcomes. However …
have been validated with correlation to surgical expertise and patient outcomes. However …
Utility of the simulated outcomes following carotid artery laceration video data set for machine learning applications
G Kugener, DJ Pangal, T Cardinal, C Collet… - JAMA network …, 2022 - jamanetwork.com
Importance Surgical data scientists lack video data sets that depict adverse events, which
may affect model generalizability and introduce bias. Hemorrhage may be particularly …
may affect model generalizability and introduce bias. Hemorrhage may be particularly …
Use of surgical video–based automated performance metrics to predict blood loss and success of simulated vascular injury control in neurosurgery: a pilot study
DJ Pangal, G Kugener, T Cardinal… - Journal of …, 2021 - thejns.org
OBJECTIVE Experts can assess surgeon skill using surgical video, but a limited number of
expert surgeons are available. Automated performance metrics (APMs) are a promising …
expert surgeons are available. Automated performance metrics (APMs) are a promising …
Objective performance indicators during robotic right colectomy differ according to surgeon skill
M Gillani, M Rupji, TJP Olson, P Sullivan… - Journal of Surgical …, 2024 - Elsevier
Introduction Surgeon assessment tools are subjective and nonscalable. Objective
performance indicators (OPIs), machine learning–enabled metrics recorded during robotic …
performance indicators (OPIs), machine learning–enabled metrics recorded during robotic …
Relating process and outcome metrics for meaningful and interpretable cannulation skill assessment: A machine learning paradigm
Abstract Background and Objectives: The quality of healthcare delivery depends directly on
the skills of clinicians. For patients on hemodialysis, medical errors or injuries caused during …
the skills of clinicians. For patients on hemodialysis, medical errors or injuries caused during …