How AI can power early detection of dementia


Healthcare providers have long relied on paper and pencil-based tests to detect early signs of cognitive impairment, dementia and Alzheimer's disease in their patients and serve as the basis of referrals to specialists.

Similar to so many other parts of healthcare, though, digital innovation and device accessibility have opened up a wealth of opportunities to improve how providers detect and address brain health issues in primary care.

At Linus Health we leverage AI to augment clinical expertise by surfacing signs of cognitive impairment that could otherwise be imperceptible to the human eye. More specifically, for example, while a patient is taking the widely known Clock Drawing Test – now digitized – AI analyzes dozens of metrics during the person's process of drawing the clock to pick up on meaningful cues and patterns of performance.

These metrics can be combined with other inputs like health history, life habits, symptoms and social determinants of health and run through a model grounded in specialist expertise to afford providers validated and actionable insights about the patient. In this case, AI empowers providers with new visibility into their patients' brain health so they can, in turn, empower their patients with education and next steps as appropriate.

資料出處: Healthcare IT News