Term 252

Portable AI-Assisted Capillary-Blood Analyze

The Most Humanitarian Project Award

Project Type: Self-Initiated

Project Description

This project focuses on reducing costs for consumers in the medical industry by leveraging optical imaging techniques to simplify and lower manufacturing expenses. To ensure that affordability does not compromise accuracy, the project incorporates the development of an AI-based model capable of labeling and analyzing blood color through parameter measurement. We are continuously ensuring that global health standards and regulations for medical devices stated by the International Organizational Standardization (ISO) are being followed. For example, ISO 13485 states that risk management, clinical evaluation, and strict quality management systems; must be documented from design to post market entry.


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Project Team

Abdulrhman Adel Basaif
Abdulrhman Adel Basaif
ICS
Nawaf Tabet Alsharani
Nawaf Tabet Alsharani
ICS
Abdullah Ahmed Al Khulaqi
Abdullah Ahmed Al Khulaqi
BIOE
Haitham Uthman Babikir
Haitham Uthman Babikir
ME
Hamza Abdulaziz Shahbar
Hamza Abdulaziz Shahbar
CHE
Muadh Jumah Alshamsy
Muadh Jumah Alshamsy
EE

Team Coach

Dr. Brahim Brahmi
Dr. Brahim Brahmi
Assistant Professor

Department of Electrical Engineering

Interdisciplinary Research Center for Intelligent Manufacturing & Robotics