AIMC Topic: Fibrinolytic Agents
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Risk Factors and Outcomes of Hemorrhagic Transformation in Acute Ischemic Stroke Following Thrombolysis: Analysis of a Single-Center Experience and Review of the Literature.
Medicina (Kaunas, Lithuania)
Apr 14, 2025
: This is a retrospective study conducted at the Clinical County Hospital of Craiova, Romania, providing valuable insights into hemorrhagic transformation (HT) in thrombolyzed patients with acute ischemic stroke (AIS). Hemorrhagic complications remai...
Automated Identification of Stroke Thrombolysis Contraindications from Synthetic Clinical Notes: A Proof-of-Concept Study.
Cerebrovascular diseases extra
Mar 17, 2025
INTRODUCTION: Timely thrombolytic therapy improves outcomes in acute ischemic stroke. Manual chart review to screen for thrombolysis contraindications may be time-consuming and prone to errors. We developed and tested a large language model (LLM)-bas...
Influence of renal function on blood pressure control and outcome in thrombolyzed patients after acute ischemic stroke: analysis of the ENCHANTED trial.
Frontiers in endocrinology
Dec 9, 2024
BACKGROUND: The effect of renal impairment in patients who receive intravenous thrombolysis for acute ischemic stroke (AIS) is unclear. We aimed to determine the associations of renal impairment and clinical outcomes and any modification of the effec...
Machine learning-based predictive model for the development of thrombolysis resistance in patients with acute ischemic stroke.
BMC neurology
Aug 26, 2024
BACKGROUND: The objective of this study was to establish a predictive model utilizing machine learning techniques to anticipate the likelihood of thrombolysis resistance (TR) in acute ischaemic stroke (AIS) patients undergoing recombinant tissue plas...
Deep learning-based white matter lesion volume on CT is associated with outcome after acute ischemic stroke.
European radiology
Jan 29, 2024
BACKGROUND: Intravenous thrombolysis (IVT) before endovascular treatment (EVT) for acute ischemic stroke might induce intracerebral hemorrhages which could negatively affect patient outcomes. Measuring white matter lesions size using deep learning (D...
Big Data in Stroke: How to Use Big Data to Make the Next Management Decision.
Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics
Mar 10, 2023
The last decade has seen significant advances in the accumulation of medical data, the computational techniques to analyze that data, and corresponding improvements in management. Interventions such as thrombolytics and mechanical thrombectomy improv...
Identifying acute ischemic stroke patients within the thrombolytic treatment window using deep learning.
Journal of neuroimaging : official journal of the American Society of Neuroimaging
Sep 6, 2022
BACKGROUND AND PURPOSE: Treatment of acute ischemic stroke is heavily contingent upon time, as there is a strong relationship between time clock and tissue progression. Work has established imaging biomarker assessments as surrogates for time since s...
First-in-Human Robot-Assisted Subretinal Drug Delivery Under Local Anesthesia.
American journal of ophthalmology
Nov 14, 2021
PURPOSE: To report the results of a first-in-human study using a robotic device to assist subretinal drug delivery in patients undergoing vitreoretinal surgery for macular hemorrhage.
Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment.
JAMA network open
May 3, 2021
IMPORTANCE: Anticipating the risk of gastrointestinal bleeding (GIB) when initiating antithrombotic treatment (oral antiplatelets or anticoagulants) is limited by existing risk prediction models. Machine learning algorithms may result in superior pre...
Antifibrinolytic Agents
Gastrointestinal Hemorrhage
Myocardial Ischemia
Machine Learning
Thienopyridines
Retrospective Studies
Clinical Decision-Making
Humans
Risk Assessment
Adolescent
Cohort Studies
United States
Anticoagulants
Atrial Fibrillation
Venous Thromboembolism
Predictive Value of Tests
Fibrinolytic Agents
Adult
Cross-Sectional Studies
Male
Middle Aged
Female
Aged
Aged, 80 and over
Young Adult
Reperfusion Therapy in Acute Ischemic Stroke with Active Cancer: A Meta-Analysis Aided by Machine Learning.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Mar 26, 2021
OBJECTIVES: While the prevalence of active cancer patients experiencing acute stroke is increasing, the effects of active cancer on reperfusion therapy outcomes are inconclusive. Thus, we aimed to compare the safety and outcomes of reperfusion therap...
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