Article

Deep Learning Approaches to Identify Patients within the Thrombolytic Treatment Window

2022-01-28

Abstract excerpt

1. <h4>Background</h4> Treatment of acute ischemic stroke is heavily contingent upon time, as there is a strong relationship between time clock and tissue progression. We sought to a develop a deep learning algorithm for classifying time since stroke (TSS) from MR images by comparison to neuroradiologist assessments of imaging signal mismatch and evaluation on external data. <h4>Methods</h4> This retrospective stu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8d461be5-0b45-5fe8-8c1f-5f13734191d0
DOI: 10.1101/2022.01.26.22269260

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning Approaches to Identify Patients within the Thrombolytic Treatment WindowDOI 10.1101/2022.01.26.22269260Read

Deep learning-based detection and segmentation of diffusion abnormalities in acute ischemic strokeSemantic proximity Read

Scaling behaviors of deep learning and linear algorithms for the prediction of stroke severitySemantic proximity Read

Machine Learning in Stroke Lesion Segmentation and Recovery Forecasting: A ReviewSemantic proximity Read

Automated Prediction of Ischemic Brain Tissue Fate from Multi-Phase CT-Angiography in Patients with Acute Ischemic Stroke Using Machine LearningSemantic proximity Read

Deep learning algorithms for automatic segmentation of acute cerebral infarcts on diffusion-weighted images: Effects of training data sample size, transfer learning, and data featuresSemantic proximity Read

Clinically Scalable Deep Learning for Stroke Multicenter Validation of an Ultra-Efficient NCCT-Based Diagnostic FrameworkSemantic proximity Read

Predicting Ischemic Stroke Patients to Transfer for Endovascular Thrombectomy Using Machine Learning: A Case StudySemantic proximity Read

iSPAN: Improved prediction of outcomes post thrombectomy with Machine LearningSemantic proximity Read

The Impact of Artificial Intelligence on Large Vessel Occlusion Stroke Detection and Management: A Systematic Review Meta-analysisSemantic proximity Read

Machine Learning Based Reanalysis of Clinical Scores for Distinguishing Between Ischemic and Hemorrhagic Stroke in Low Resource SettingSemantic proximity Read

Portable Cerebral Blood Flow Monitor to Detect Large Vessel Occlusion in Suspected Stroke PatientsSemantic proximity Read

Early Prediction of Ischaemic Stroke Outcomes: A Novel Computational ApproachSemantic proximity Read