Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Systemic Inflammatory Markers and Intracranial Atherosclerosis: Road to Nowhere? A Meta-analysis.

Neuroepidemiology·2026

Same author

Radiomic Carotid Plaque Features Integrated into Machine Learning Models for Cardiovascular Risk Prediction.

Ultrasound in medicine & biology·2026

Same author

Impact of Attenuation Threshold Selection on the Quantification of Carotid Calcification on CTA.

AJNR. American journal of neuroradiology·2026

Same author

Advancing morphometric assessment of the aorta and left ventricle from dynamic CT: a deep learning-based study.

European heart journal. Imaging methods and practice·2026

Same author

Integrating cardiac CT into the diagnostic pathway of Takotsubo syndrome: current evidence and future directions.

European journal of radiology·2026

Same author

Attention mechanisms in UNet variants for medical/non-medical image segmentation: A comprehensive and state-of-the-art narrative review.

Computers in biology and medicine·2026

Search research articles

Related Experiment Video

Updated: Oct 27, 2025

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

Emerging role of artificial intelligence in stroke imaging.

Giuseppe Corrias¹, Andrea Mazzotta¹, Marta Melis²

¹Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), Di Cagliari - Polo Di Monserrato, S.s. 554 Monserrato (Cagliari), Italy.

Expert Review of Neurotherapeutics

|July 20, 2021

Summary

Artificial intelligence (AI) aids in stroke diagnosis and outcome prediction by analyzing complex patient data. This technology helps clinicians make better decisions, improving patient care and treatment response forecasting.

Keywords:

Supervised artificial intelligence image optimization and analysis perfusion imaging stroke

More Related Videos

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli

Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli

Published on: September 25, 2016

Related Experiment Videos

Last Updated: Oct 27, 2025

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli

Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli

Published on: September 25, 2016

Area of Science:

Neurology
Medical Informatics
Artificial Intelligence

Background:

Stroke diagnosis and treatment are increasingly complex due to evolving therapies and new disease-response associations.
Clinicians require continuous learning to integrate advancements into practice.
Artificial intelligence (AI) offers potential to standardize clinical decisions and accelerate data analysis in stroke care.

Purpose of the Study:

To provide an updated review of artificial intelligence applications in stroke.
To analyze recent literature on AI for stroke diagnosis and outcome prediction.

Main Methods:

Systematic review of recent scientific papers on AI in stroke.
Categorization of AI applications into stroke diagnosis and outcome prediction.

Main Results:

AI can process and integrate extensive clinical and imaging data for individual patients.
AI models, optimized with large datasets, can support clinical decision-making in stroke management.
AI assists in predicting treatment responses and patient outcomes.

Conclusions:

AI holds significant value in synthesizing complex patient data for improved stroke recognition and management.
The integration of AI can enhance the accuracy of stroke diagnosis and prognosis.
AI-driven insights are crucial for advancing personalized stroke therapy and patient outcome prediction.