The Intersections of Artificial Intelligence, Brain Imaging Tools and Diagnostics for Neurodegenerative Diseases
DOI:
https://doi.org/10.47611/jsrhs.v12i3.5077Keywords:
Artificial Intelligence, Machine Learning, Neurodegenerative Diseases, Cognition, Brain Imaging Technology, MRI, PET, Parkinson's Disease, Alzheimer's Disease, Huntington's Disease, EthicsAbstract
This paper explores the fascinating topics of artificial intelligence (AI), brain imaging tools, and diagnostics for neurodegenerative diseases. By examining the advancements in AI algorithms and their integration with cutting-edge brain imaging technologies, this publication displays the potential of these approaches to revolutionize the diagnoses and understanding of neurodegenerative disorders. Through an analysis of recent studies, this paper highlights the significant progress made by utilizing AI-powered tools, enhancing the accuracy, efficiency, and early detection of conditions such as Alzheimer's, Parkinson's, and Huntington's diseases. Ultimately, this research underscores the transformative role that AI and brain imaging can play in the field of neurodegenerative disease diagnostics, paving the way for improved patient care and better outcomes.
In addition to exploring the current state of AI and brain imaging tools in neurodegenerative disease diagnostics, my paper also dives into the potential future applications and challenges in this rapidly evolving field. It discusses the ethics of AI-driven diagnostic methods, emphasizing the importance of ensuring patient privacy, informed consent, and equitable access to these technologies.
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