Automated Diagnosis of Stroke in Computed Tomography With the Use of Artificial Intelligence

Conditions:   Stroke;   Ischemic Stroke Intervention:   Sponsor:   University of Guadalajara Enrolling by invitation
Source: - Category: Research Source Type: clinical trials

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Conditions:   Stroke;   Ischemic Stroke Intervention:   Sponsor:   University of Guadalajara Enrolling by invitation
Source: - Category: Research Source Type: clinical trials
AbstractWe evaluated the predictive value of several clinical, radiological and laboratory parameters on the risk of predict intracranial hemorrhage (ICH) in patients with atrial fibrillation (AF). We conducted a case-control study on a consecutive hospital based series of patients with AF and ICH. A random sample of subjects with AF without ischemic or hemorrhagic stroke was selected from the same hospital in the same period to perform as the control group, with a ratio of two controls per case. All patients underwent the same evaluation protocol. Patients without neuroimaging exams were excluded. During the study period ...
Source: Journal of Thrombosis and Thrombolysis - Category: Hematology Source Type: research
ConclusionsPre-existing SVD burden, mainly driven by brain atrophy, negatively affects early and late clinical outcomes in anterior circulation ischemic stroke treated with endovascular therapy. Our results may help prognostic stratification of stroke patients treated with endovascular therapy.
Source: Neurological Sciences - Category: Neurology Source Type: research
Introduction: There is continued interest in identifying factors that predict a favorable outcome after endovascular thrombectomy (EVT) for anterior circulation large vessel occlusion (ACLVO). We compared the predictive values of 2 different scoring systems for evaluating venous collateral circulation. Methods: A retrospective review of patients who underwent EVT for ACLVO at a single institution was performed. Those who underwent preprocedural computed tomography angiography (CTA) were selected.
Source: Journal of Stroke and Cerebrovascular Diseases - Category: Neurology Authors: Source Type: research
Sound, rhythm, rate, structure, function – countless features of the heart are measured to keep it healthy for as long as possible. Recently, an army of digital health technologies joined the forces of traditional preventive tools in cardiology to counter stroke, heart attack, heart failure or any other cardiovascular risks. In the future, minuscule sensors, digital twins, and artificial intelligence could strengthen their ranks. Let’s see what the future of cardiology might look like! Fitness trackers, chatbots and A.I. against heart disease Let’s say 36-year-old Maria living in Sao Paulo in 2033 d...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: Artificial Intelligence in Medicine Future of Medicine Health Sensors & Trackers Portable Diagnostics cardiology cardiovascular cardiovascular diseases digital digital twin health trackers heart heart health heart rate heart soun Source Type: blogs
CONCLUSION: FDCTA, reconstructed from VP-FDCT data, allows reliable detection of ICA or MCA M1 segment occlusion comparable to CTA and may provide information concerning the clot extent with sufficient image quality. PMID: 30862169 [PubMed - as supplied by publisher]
Source: Acta Radiologica - Category: Radiology Authors: Tags: Acta Radiol Source Type: research
Conditions:   Stroke;   Hemorrhage Intervention:   Device: cone beam CT Sponsor:   Centre Hospitalier Universitaire, Amiens Recruiting
Source: - Category: Research Source Type: clinical trials
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