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Potential Benefits of Using Artificial Intelligence to Diagnose Alzheimer’s Disease

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참고문헌 (7)

  1. Kwon HS, "Monitoring patients with dementia : insight into global trends, innovations, and future directions", J Clin Neurol, 20, pp.239~240 (2024)
  2. Bazarbekov I, "A review of artificial intelligence methods for Alzheimer’s disease diagnosis : insights from neuroimaging to sensor data analysis", Biomed Signal Process Control, 92, pp.106023~ (2024)
  3. Khalid A, "Automatic analysis of MRI images for early prediction of Alzheimer’s disease stages based on hybrid features of CNN and handcrafted features", Diagnostics(Basel), 13, pp.1654~ (2023)
  4. Hojjati SH, "Identification of the early stage of Alzheimer’s disease using structural MRI and restingstate fMRI", Front Neurol, 10, pp.904~ (2019)
  5. Warren SL, "Functional magnetic resonance imaging, deep learning, and Alzheimer’s disease : a systematic review", J Neuroimaging, 33, pp.5~18 (2023)
  6. Beltrán JF, "Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer’s Disease Neuroimaging(ADNI)database", PLoS One, 15, pp.e0235663~ (2020)
  7. Kim BJ, "The intersection of technology and humanity : exploring the ethics and potential of artificial intelligence in medicine", J Clin Neurol, 19, pp.215~216 (2023)

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