Skip to content
dain-studios-logo
  • Industries
    • Administration & Public Administration
    • Construction
    • Education & Arts
    • Energy, Resources & Environment
    • Finance & Insurance
    • Healthcare
    • Information, Communication & Media
    • Logistics
    • Manufacturing
    • Trade & Retail
    • Travel & Hospitality
  • Contact us
Menu
  • Industries
    • Administration & Public Administration
    • Construction
    • Education & Arts
    • Energy, Resources & Environment
    • Finance & Insurance
    • Healthcare
    • Information, Communication & Media
    • Logistics
    • Manufacturing
    • Trade & Retail
    • Travel & Hospitality
  • Contact us

Database » Healthcare » Predict whether a patient will develop wet AMD or not

Predict whether a patient will develop wet AMD or not

Database » Healthcare » Predict whether a patient will develop wet AMD or not

Predict whether a patient will develop wet AMD or not

Google has been working on an AI model with DeepMind and Moorfields Eye Hospital. The model has the potential to predict whether a patient will develop wet AMD within six months. The plan is that in the future the model could help doctors in detecting wet AMD sooner and thus prevent it.

Companies involved:
Google, DeepMind
Link to reference
Business Value
Acting Faster
,
Better Decisions
,
Higher Quality of Service

Applications

Health Diagnosis

Methods

Deep Learning
Healthcare

Industries

Healthcare
Share use case

Related Use Cases

Diagnosis of a child belonging to the autism spectrum

  • Healthcare
Computer Vision Data Analytics Health Diagnosis
Cognoa has had their application designed for helping doctors in diagnosing children with autism approved by the FDA. The …
Read More

Monitoring new diseases from animal blood found in mosquitoes

  • Healthcare
Computer Vision Deep Learning Health Diagnosis
In a single night, a device designed by Microsoft, can observe thousands of mosquitoes and capture a smaller number …
Read More

Personalised support in dealing with illnesses

  • Healthcare
Data Analytics Deep Learning Health Diagnosis Internet of Things
xbird uses an AI-powered three-step process to provide patients with personalized therapy support and improve therapy adherence; capturing, evaluating …
Read More

Want to get more Data and AI insights?
Subscribe to receive white papers and reports.

Subscribe to Newsletter
  • Test your Data & AI Maturity
  • Data & AI Insights
  • About DAIN Studios
  • Contact us
  • Test your Data & AI Maturity
  • Data & AI Insights
  • About DAIN Studios
  • Contact us
Studio HELSINKI

Salomonkatu 17 A (Autotalo)
00100 Helsinki, Finland

Studio BERLIN

Erkelenzdamm 7
10999 Berlin, Germany

Studio MUNICH

Schackstraße 3
80539 Munich, Germany

Envelope Youtube Twitter Linkedin Facebook
  • Privacy Policy
  • Imprint
  • Privacy Policy
  • Imprint
© 2021 DAIN Studios

Get IN Touch
with Dain Studios

Contact us