AIMC Topic: Stroke
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Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks.
Computers in biology and medicine
Oct 9, 2019
The use of Computed Tomography (CT) imaging for patients with stroke symptoms is an essential step for triaging and diagnosis in many hospitals. However, the subtle expression of ischemia in acute CT images has made it hard for automated methods to e...
Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review.
Journal of neurointerventional surgery
Oct 8, 2019
BACKGROUND AND PURPOSE: Acute stroke caused by large vessel occlusions (LVOs) requires emergent detection and treatment by endovascular thrombectomy. However, radiologic LVO detection and treatment is subject to variable delays and human expertise, r...
Physiological responses and perceived exertion during robot-assisted treadmill walking in non-ambulatory stroke survivors.
Disability and rehabilitation
Oct 7, 2019
PURPOSE: To examine physiological responses and perceived exertion during robot-assisted treadmill walking in non-ambulatory stroke survivors; compare these outcomes with aerobic exercise recommendations; and investigate the effect of robotic assista...
A network underlying human higher-order motor control: Insights from machine learning-based lesion-behaviour mapping in apraxia of pantomime.
Cortex; a journal devoted to the study of the nervous system and behavior
Oct 4, 2019
Neurological patients with apraxia of pantomime provide us with a unique opportunity to study the neural correlates of higher-order motor function. Previous studies using lesion-behaviour mapping methods led to inconsistent anatomical results, report...
Applying density-based outlier identifications using multiple datasets for validation of stroke clinical outcomes.
International journal of medical informatics
Oct 3, 2019
INTRODUCTION: Clinicians commonly use the modified Rankin Scale (mRS) and the Barthel Index (BI) to measure clinical outcome after stroke. These are potential targets in machine learning models for stroke outcome prediction. Therefore, the quality of...
Predicting post-stroke pneumonia using deep neural network approaches.
International journal of medical informatics
Oct 1, 2019
BACKGROUND AND PURPOSE: Pneumonia is a common complication after stroke, causing an increased length of hospital stay and death. Therefore, the timely and accurate prediction of post-stroke pneumonia would be highly valuable in clinical practice. Pre...
Machine Learning-Enabled Automated Determination of Acute Ischemic Core From Computed Tomography Angiography.
Stroke
Sep 24, 2019
Background and Purpose- The availability of and expertise to interpret advanced neuroimaging recommended in the guideline-based endovascular stroke therapy (EST) evaluation are limited. Here, we develop and validate an automated machine learning-base...
Can clinical audits be enhanced by pathway simulation and machine learning? An example from the acute stroke pathway.
BMJ open
Sep 17, 2019
OBJECTIVE: To evaluate the application of clinical pathway simulation in machine learning, using clinical audit data, in order to identify key drivers for improving use and speed of thrombolysis at individual hospitals.
Technical considerations of multi-parametric tissue outcome prediction methods in acute ischemic stroke patients.
Scientific reports
Sep 13, 2019
Decisions regarding acute stroke treatment rely heavily on imaging, but interpretation can be difficult for physicians. Machine learning methods can assist clinicians by providing tissue outcome predictions for different treatment approaches based on...
A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records.
BMC medical informatics and decision making
Sep 9, 2019
BACKGROUND: Manual coding of phenotypes in brain radiology reports is time consuming. We developed a natural language processing (NLP) algorithm to enable automatic identification of brain imaging in radiology reports performed in routine clinical pr...
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