Being able to monitor brain changes in mild cognitive impairment or Alzheimer's disease at point-of-care is desirable but, because of their necessarily lower magnetic field strength, portable MRI scanners have resolution limitations due to a lower signal-to-noise ratio. Here, combination with a machine learning pipeline overcomes disadvantages and renders the portable system more freely available and cost-effective
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