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Mohammed Zubair: AI-Driven Innovation in Stroke Diagnosis and Medical Imaging
Mohammed Zubair/LinkedIn
May 24, 2026, 15:33

Mohammed Zubair: AI-Driven Innovation in Stroke Diagnosis and Medical Imaging

Mohammed Zubair, AI and Data Science professional at My Choice Foundation, shared on LinkedIn about a recent article he and his colleagues co-authored, published in IJRASET, adding:

”Excited to share my published research paper, ‘AI Powered Stroke Clot Origin Classification Using Medical Imaging,’ published in IJRASET (International Journal for Research in Applied Science and Engineering Technology).

This research explores the application of Artificial Intelligence, Deep Learning, and Medical Imaging in stroke clot origin classification to support faster and more accurate clinical decision-making.

Working on this project helped me strengthen my understanding of AI in healthcare, machine learning models, data analysis, and research methodologies.

It was a valuable experience in applying technology to solve real-world healthcare challenges.

Grateful to my mentors, co-authors, and everyone who supported this work.”

Title: Al Powered Stroke Clot Origin Classification Using Medical Imaging

Authors: Shahana Tanveer, Taha Rafi Farooqui, Zubair Omar Uzbak

Mohammed Zubair: AI-Driven Innovation in Stroke Diagnosis and Medical Imaging

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AI Deep learning Health Hematology Hemostasis Hemostasis News Hemostasis Today IJRASET Medical Imaging Medicine Mohammed Zubair Shahana Tanveer stroke Taha Rafi Farooqui thrombosis Zubair Omar Uzbak
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