AI-Powered Stroke Diagnosis System: Methodological Framework and Implementation

AI-Powered Stroke Diagnosis System: Methodological Framework and Implementation

This study introduces an AI-based framework for stroke diagnosis that merges clinical data and curated imaging data. The system utilizes traditional machine learning and advanced deep learning techniques to tackle dataset imbalances and variability in stroke presentations. Our approach involves rigo...

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Bibliographic Details
Main Authors: Marta Narigina, Agris Vindecs, Dušanka Bošković, Yuri Merkuryev, Andrejs Romanovs
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Future Internet
Subjects:
stroke diagnosis
eICU database
machine learning
deep learning
convolutional neural networks
ensemble methods
Online Access:https://www.mdpi.com/1999-5903/17/5/204
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https://www.mdpi.com/1999-5903/17/5/204

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