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@article{188587,
        author = {Ajeet Singh and Tanushka Singh and Prashant Mishra and Vishwas Dixit and Dr Manju Pandey},
        title = {Deep Learning - Enhanced MRI Analysis for Early Prediction of Alzheimer’s Disease},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {2051-2060},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188587},
        abstract = {Alzheimer's disease (AD) is a chronic, progressive neurodegenerative disorder characterized by cognitive decline, memory loss, and impaired reasoning. It is the leading cause of dementia in older adults, marked by the pathological accumulation of amyloid-beta plaques and neurofibrillary tangles. These pathological changes lead to widespread neuronal damage, significantly impacting daily functioning and quality of life. Providing an overview of the current state of AI applications in neuroimaging for early AD prediction and highlighting the promise of AI techniques to improve early AD diagnosis, prognosis, and management are the goals of this literary review. To give a nuanced examination of the topic, this study uses a targeted descriptive review technique that includes analysis of peer-reviewed papers and clinical trials from the body of current literature. The effectiveness of non-invasive biomarkers, biosensors, and new, promising technologies for improving early AD and PD diagnosis is highlighted in this review},
        keywords = {Alzheimer’s disease (AD), Machine learning, MRI Analysis, Imaging analysis},
        month = {December},
        }