• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Home
  • Crypto Currency
  • Technology
NEO Share

NEO Share

Sharing The Latest Tech News

  • Home
  • Artificial Intelligence
  • Machine Learning
  • Computers
  • Mobile
  • Crypto Currency

Artificial Intelligence Model Predicts Alzheimer’s Using Retinal Scans

December 14, 2020 by systems

Having the capability to promptly diagnose by using Artificial Intelligence doesn’t just increase accessibility, it also means care providers can identify those at risk of blindness and get them to an ophthalmologist for treatment before it is too late.

The findings from the current Duke-led study [2] shows that the machine learning approach could someday be used as an accessible, accurate predictive tool for Alzheimer’s disease.

The diagnosing of Alzheimer’s disease generally relies on symptoms and cognitive testing.

Additional tests to confirm the diagnosis are invasive, expensive, and can be risky. Therefore, having a more accessible method to identify Alzheimer’s could greatly help patients.

By including improving diagnostic precision, allowing entry into clinical trials earlier in the disease course, and planning for necessary lifestyle adjustments are some of the ways a more accessible method will help patients [3].

Filed Under: Artificial Intelligence

Primary Sidebar

Tsinghua AI Association of International Students (TAIS) news roundup 25 January

Tsinghua AI Association of International Students (TAIS) news roundup 25 January

How Amazon became the top dog in artificial intelligence

Bot Poem #4

Will Machines replace us in the future?

Footer

  • Privacy Policy
  • Terms and Conditions

Copyright © 2021 NEO Share

Terms and Conditions - Privacy Policy