AIMC Topic: Surgical Procedures, Operative
Clear Filters Showing 51 to 60 of 103 articles
Enabling artificial intelligence in high acuity medical environments.
Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
Apr 5, 2019
Acute patient treatment can heavily profit from AI-based assistive and decision support systems, in terms of improved patient outcome as well as increased efficiency. Yet, only very few applications have been reported because of the limited accessibi...
Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.
PLoS medicine
Nov 27, 2018
BACKGROUND: Pythia is an automated, clinically curated surgical data pipeline and repository housing all surgical patient electronic health record (EHR) data from a large, quaternary, multisite health institute for data science initiatives. In an eff...
Neural network modelling of soft tissue deformation for surgical simulation.
Artificial intelligence in medicine
Nov 13, 2018
This paper presents a new neural network methodology for modelling of soft tissue deformation for surgical simulation. The proposed methodology formulates soft tissue deformation and its dynamics as the neural propagation and dynamics of cellular neu...
Explainable machine-learning predictions for the prevention of hypoxaemia during surgery.
Nature biomedical engineering
Oct 10, 2018
Although anaesthesiologists strive to avoid hypoxemia during surgery, reliably predicting future intraoperative hypoxemia is not currently possible. Here, we report the development and testing of a machine-learning-based system that, in real time dur...
Artificial intelligence applied to evidence-based surgery.
Cirugia espanola
Jul 7, 2018
Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Statistical techniques such as propensity score matching and instrumental variable are commonly employed to "simulate" randomization and adjust for measured confounders in comparative effectiveness research. Despite such adjustments, the results of t...
Prognostic value of postoperative high-sensitivity troponin T in patients with different stages of kidney disease undergoing noncardiac surgery.
British journal of anaesthesia
Nov 23, 2017
BACKGROUND: Emerging evidence suggests that postoperative troponin release is a strong and independent predictor of short-term mortality. However, evaluating elevated troponins in patients with chronic kidney disease (CKD) is still controversial and ...
System events: readily accessible features for surgical phase detection.
International journal of computer assisted radiology and surgery
May 13, 2016
PURPOSE: Surgical phase recognition using sensor data is challenging due to high variation in patient anatomy and surgeon-specific operating styles. Segmenting surgical procedures into constituent phases is of significant utility for resident trainin...
Novel concept of cleanliness of instruments for robotic surgery.
The Journal of hospital infection
Apr 22, 2016
Impact of delay on telesurgical performance: study on the robotic simulator dV-Trainer.
International journal of computer assisted radiology and surgery
Oct 8, 2015
PURPOSE: To determine the impact of communication latency on telesurgical performance using the robotic simulator dV-Trainer®.
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