About this document
AI in Acute Stroke Diagnosis: 25-Year Review by Lamiss Kara is a document available to read on EtoBox.
This document presents a 25-year retrospective review on the use of artificial intelligence (AI) in diagnosing acute stroke, highlighting the evolution of methods from traditional techniques to machine learning (ML) and deep learning (DL) approaches. The review analyzes 33 articles published between 1999 and 2024, illustrating significant advancements in stroke lesion segmentation and prognosis assessment. The findings suggest that AI has greatly improved the accuracy of diagnosing and classifying acute str
- Author
- Lamiss Kara
- Language
- EN