Introduction
Alzheimer’s disease is a progressive neurodegenerative disorder and the leading cause of dementia worldwide. Alzheimer’s disease affects brain memory and other cognitive functions. Therefore, the early detection and diagnosis of Alzheimer’s disease are crucial in developing effective treatments and improving the quality of life for patients. Recent years have seen an increased
presence of artificial intelligence (AI) in diagnosing Alzheimer’s disease is vast and impressive, thanks to advancements in a range of areas, including learning, reasoning, and explainability. AI has demonstrated the ability to predict the likelihood of developing Alzheimer's disease.
The present Thematic/Special Issue aims to comprise the latest advances in the field of AI and their potential applications in the diagnosis of Alzheimer's disease. Also, this issue aims to share novel research on AI systems that have been developed, implemented, and evaluated to support the prediction, early detection, and progression of Alzheimer’s disease over time. Additionally,
this Special Issue focuses on Alzheimer's disease diagnosis using deep learning techniques such as convolutional neural networks, pretrained models, and transformer-based models for improving the accuracy and efficiency of Alzheimer’s disease diagnosis.
Keywords
Alzheimer’s disease, Diagnosis, Artificial Intelligence, Personalized Medicine, Medical Imaging, Machine Learning, Deep Learning, Explainable AI
