Khaled S Fawagreh

Title: Innovations in Parkinson's Disease Prediction by Khaled S Fawagreh

Introduction

Khaled S Fawagreh is an innovative inventor based in Dhahran, Saudi Arabia. He has made significant contributions to the field of medical imaging, particularly in the prediction and classification of Parkinson's Disease (PD). His work focuses on utilizing advanced technologies to enhance diagnostic accuracy and improve patient outcomes.

Latest Patents

Khaled S Fawagreh holds a patent for a groundbreaking system and method for classifying Parkinson's Disease from magnetic resonance imaging (MRI) data. The patent, titled "Parkinson disease prediction using magnetic resonance imaging (MRI) based on a convolutional block attention module and explainable AI architecture (C3BAM-XAI)," outlines a computer-implemented system that processes MRI images through a convolutional neural network (CNN) architecture. This method involves receiving an MRI image, processing it through the C3BAM-Net CNN to obtain attention-enhanced feature maps, and classifying the image into various PD categories based on these features. The C3BAM-Net CNN includes multiple convolutional layers, Rectified Linear Unit (ReLU) activations, max pooling layers, and Convolutional Block Attention Modules (CBAMs), which enhance the model's ability to focus on relevant features in the MRI data.

Career Highlights

Khaled S Fawagreh is affiliated with Prince Mohammad Bin Fahd University, where he contributes to research and development in the field of medical imaging and artificial intelligence. His work is characterized by a commitment to advancing healthcare technologies and improving diagnostic methodologies.

Collaborations

Khaled collaborates with Muhammad Attique Khan, working together to push the boundaries of innovation in medical imaging and AI applications.

Conclusion

Khaled S Fawagreh's contributions to Parkinson's Disease prediction through advanced imaging techniques exemplify the potential of technology in transforming healthcare. His innovative approach not only enhances diagnostic capabilities but also paves the way for future advancements in medical research.