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Alzheimer's in the modern age: Ethical challenges in the use of digital monitoring to identify cognitive changes.

Claire M EricksonAnna WexlerEmily A Largent
Published in: Informatics for health & social care (2023)
Pushes toward earlier detection of Alzheimer's disease (AD)-related cognitive changes are creating interest in leveraging technologies, like cellphones, that are already widespread and well-equipped for data collection to facilitate digital monitoring for AD. Studies are ongoing to identify and validate potential "digital biomarkers" that might indicate someone has or is at risk of developing AD dementia. Digital biomarkers for AD have potential as a tool in aiding more timely diagnosis, though more robust research is needed to support their validity and utility. While there are grounds for optimism, leveraging digital monitoring and informatics for cognitive changes also poses ethical challenges, related to topics such as algorithmic bias, consent, and data privacy and security. As we confront the modern era of Alzheimer's disease, individuals, companies, regulators and policymakers alike must prepare for a future in which our day-to-day interactions with technology in our daily life may identify AD-related cognitive changes.
Keyphrases
  • big data
  • cognitive decline
  • electronic health record
  • mild cognitive impairment
  • healthcare
  • physical activity
  • transcription factor
  • human health
  • climate change
  • deep learning
  • current status
  • global health
  • label free