Artificial Intelligence’s Aid in Diagnosing Alzheimer’s Disease
DOI:
https://doi.org/10.47611/jsrhs.v11i2.2619Keywords:
Healthcare, Medicine, Artificial Intelligence, AI, Machine Learning, ML, Alzheimer's, Neurology, Brain, Cognitive, Imaging, Deep Learning, CNNAbstract
Alzheimer’s disease (AD) is a brain disorder that gradually destroys memory and thinking skills and is the most common cause of dementia among older adults. AD results from the progressive degeneration of brain cells and can affect the ability of people to carry out simple tasks. AD is extremely hard for clinicians to detect and understand because an accurate diagnosis of the disease is possible only through an autopsy after the death of an affected patient. Artificial Intelligence, referring to the ability of a computer to simulate human tasks, shows great potential in helping clinicians better understand a patient's brain condition and spot and analyze brain deformity. This paper explores how Artificial Intelligence can revolutionize Alzheimer’s disease diagnosis and proposes a diagnosis roadmap for doctors to use when assessing a patient’s brain health.
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Copyright (c) 2022 Prisha Thoguluva; Dr. Rajagopalan Appavu, Jothsna Kethar
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