aspg-18-3654-1792025645 20261015005405 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Intelligent Systems and Internet of Things JISIoT 2769-786X 2690-6791 2025 16 1 Amena Mahmoud Information Systems Department, Faculty of Computer and Information, Kafr Elsheikh University, 33511, Egypt Abdulaziz Shehab Department of Information Systems, College of Computer and Information Sciences, Jouf University, Sa-kaka 72388, Saudi Arabia; Information Systems Department, Faculty of Computer and Informat A. S. Abohamama Department of Computer Science, Mansoura University, Mansoura 35516, Egypt; Department of Computer Science, Arab East Colleges, Riyadh 53354, Saudi Arabia Esraa Al-Ezaly Information Systems Department, Faculty of Computer and Information, Mansoura University, Mansoura, 35516, Egypt Alzheimer’s disease (AD) is a serious diseases distressing society. AD is a complex disease associated with many risk factors, such as aging, genetics, head trauma, and vascular disease. AD is also influenced by environmental factors such as heavy metals and trace metals. The pathology of AD, including amyloid-peptide (Aβ) protein, neurofibrillary tangles (NFTs), and synaptic loss, is still unknown. There are many explanations for the causes of AD. Cholinergic dysfunction is a main danger factor for Alzheimer's disease, whereas others believe that abnormalities in the production and treating of Aβ protein are the primary cause. However, there is currently no accepted hypothesis explaining the pathogenesis of AD. Magnetic resonance imaging is used to diagnose Alzheimer's disease. Our new AD pathogenesis showed 99.77% accuracy with 0.2% efficiency loss and outperformed VGG16, MobileNet2, and Inception V3 without the Adam optimizer and folder hierarchy. 2025 223 232 3654 https://creativecommons.org/licenses/by/4.0/ 10.54216/JISIoT.160119 https://americaspg.com/journal/18/article/3654 https://americaspg.com/storage/81740668659.pdf