PREDICT VISION

predict-vision-logo

Predict Vision is a CADX support platform that assists in the generation of reports, diagnostics, can predict diseases, complications and indicate personalized treatments. In many Latin American countries there is a shortage of specialized doctors , lack of proper training and the radiologists are overloaded which can lead to diagnose errors , but the main problem we have identified is the individual bias, i.e, when the patient life rely on the individual knowledge , skills and experience of the... doctor. We have developed an easy-to-use deep learning cloud based platform for medical imaging that improves efficiency and eliminates individual bias, by helping doctors make more reliable decisions, enhance the confidence and exchange knowledge and connecting with their peers, thus ensuring that patients have the correct diagnose. Our deep learning models are developed in partnership with doctors and health institutions in partnership as we found out that we do need to build the product with customers and not to the customers only as they need to be sure we are working in high ethical standards and to provide and explain to them the concepts of our technology and how build it to reach the diagnose as doctors are evidence based and they need to understand how the machine reach that diagnose.

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PREDICT VISION

Social Links:

Industry:
Health Care Health Diagnostics Information Technology Medical Medical Device

Founded:
2017-01-01

Address:
Sรฃo Paulo, Sao Paulo, Brazil

Country:
Brazil

Website Url:
http://www.predict.vision

Total Employee:
1+

Status:
Active

Technology used in webpage:
IPhone / Mobile Compatible Viewport Meta Domain Not Resolving Euro Apple Mobile Web Clips Icon Google Font API Google Tag Manager WordPress Google Analytics Font Awesome


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Investors List

accelerator-centre_image

Accelerator Centre

Accelerator Centre investment in Seed Round - Predict Vision

Official Site Inspections

http://www.predict.vision Semrush global rank: 9.86 M Semrush visits lastest month: 300

  • Host name: 191.101.104.49
  • IP address: 191.101.104.49
  • Location: Frankfurt am Main Germany
  • Latitude: 50.1188
  • Longitude: 8.6843
  • Timezone: Europe/Berlin
  • Postal: 60313

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