Emerging Trends of Artificial Intelligence in Detecting Neurodegeneration

This paper explores the evolving landscape of artificial intelligence (AI) in the realm of neurodegenerative disease detection. Neurodegenerative diseases characterized by the progressive degeneration of the nervous system have significant challenges in early diagnosis and management. The conventional diagnosis was based on manual analysis of complex structures of the brain captured using neuroimaging techniques such as magnetic resonance imaging (structural MRI (sMRI), functional MRI (fMRI), resting-state MRI (rs-MRI)), diffusion-weighted (DW)-MR imaging, computed tomography (CT), single-photon emission computed tomography (SPECT), and positron emission tomography (PET). In recent times, various patterns recognition methods have been determined to discriminate automatically among the patients with and without disease of Alzheimer. Recent advancements in AI techniques, including machine learning (ML), deep learning (DL), and computer vision, have shown great promise in enhancing our ability to detect these diseases at earlier stages and with greater accuracy. The paper discusses key AI-driven methodologies, such as the analysis of neuroimaging data, the utilization of wearable devices for continuous monitoring, and the integration of multimodal data sources, which have revolutionized the field of neurodegeneration detection. Additionally, it delves into the ethical considerations and challenges associated with the widespread adoption of AI in clinical practice, emphasizing the need for data privacy, interpretability, and regulatory frameworks. Through a comprehensive review of recent literature and case studies, this paper provides insights into how AI is reshaping the landscape of neurodegenerative disease diagnosis, prognosis, and personalized treatment. It also sheds light on potential future directions and opportunities for further research and collaboration in harnessing the full potential of AI to address the global challenge of neurodegenerative diseases.