US Patent Issued to PRINCE MOHAMMAD BIN FAHD UNIVERSITY on Dec. 9 for "Parkinson disease prediction using magnetic resonance imaging (MRI) based on a convolutional block attention module and explainable ai architecture (C3BAM-XAI) architecture" (Saudi Arabia Inventors)

ALEXANDRIA, Va., Dec. 9 -- United States Patent no. 12,493,957, issued on Dec. 9, was assigned to PRINCE MOHAMMAD BIN FAHD UNIVERSITY (Dhahran, Saudi Arabia).

"Parkinson disease prediction using magnetic resonance imaging (MRI) based on a convolutional block attention module and explainable ai architecture (C3BAM-XAI) architecture" was invented by Muhammad Attique Khan (Dhahran, Saudi Arabia) and Khaled S. Fawagreh (Dhahran, Saudi Arabia).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented system, and method for classifying Parkinson's Disease (PD) from magnetic resonance imaging (MRI) data. The method includes receiving an MRI image. The method includes processing the MRI image through a C3...