X-NET SYSTEM 

Artelus X-Net

Artelus AI model that can be used to reduce the burden on the healthcare workforce for reading chest X-Ray for pneumonia & COVID-19

Applying Deep Learning technology to bring Healthcare to the "Forgotten Billion"

Patients Screened for Diabetic Retinopathy

66,684

Number of Eyes Saved

15,387

Number of Locations

381 (40 fixed locations)

Preparing for the next normal after COVID-19

As per a Mckinsey article "the length of disruption for patients continuing physical distancing remains unclear".

Introducing World's First Contactless Artificial Intelligence (AI) powered Diabetic Retinopathy Screening. Touch free fundus eye examination in less than 3 minutes.

  • Remote screening for the safety of patients
  • Doctors control the fundus cameras remotely
  • Patients are screened from a distance of more than 10 - 15 feet to ensure no human contact during the entire screening process
  • Reports are generated within seconds of screening by the AI
  • Reports are emailed to patients
  • Digital payment enabled

We have developed an early diagnostic AI solution that is accurate, affordable and easily accessible for screening, diagnosing and preventing communicable and non communicable diseases. Our award winning AI on a chip plug and play solution and first of its kind contact less remote screening solution can be seamlessly integrated to health offering in any setting.

If you are a healthcare organization looking forward to materially scale virtual health offerings that creates a competitive advantage contact us for a demo of our virtual screening product.

Our Products

DRISTi

DRISTi is our unique patent applied technology designed to analyse the prevelence of diabetic retinopathy.

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Hansanet

Patent applied proprietary technology that segregates between a bad image and a good image.

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Sahastra

Sahastra is a system that brings together Institutions, Annotators, Doctors and Patients together on a single platform.

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How It Works

How it Works

Publications

We seek to make products, which would complement the knowledge and assist the clinician in making faster and accurate diagnosis.

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