XraySetu

AI driven

Xray interpretation for
Doctors

Early intervention for COVID via WhatsApp™

We see that in COVID wave 2, owing to delay in diagnosis, patients are turning up late in hospital with low oxygen levels and succumbing quickly. This situation can be helped through our service for Xray based lung disease identification which are not easily discernible to untrained eyes in rural settings and can be helped through use of Artificial Intelligence as an aid.

AI driven

Xray interpretation for
Doctors

Early intervention for COVID via WhatsApp™

We see that in COVID wave 2, owing to delay in diagnosis, patients are turning up late in hospital with low oxygen levels and succumbing quickly. This situation can be helped through our service for Xray based lung disease identification which are not easily discernible to untrained eyes in rural settings and can be helped through use of Artificial Intelligence as an aid.

AI driven

Xray interpretation for Doctors

Early intervention for COVID via WhatsApp™

We see that in COVID wave 2, owing to delay in diagnosis, patients are turning up late in hospital with low oxygen levels and succumbing quickly. This situation can be helped through our service for Xray based lung disease identification which are not easily discernible to untrained eyes in rural settings and can be helped through use of Artificial Intelligence as an aid.

Why XraySetu?

Learn about why we created XraySetu and why artificial imaging is needed for medical imaging.

As COVID-19 continues to wreak havoc across the rural heartlands of India, it has become more critical to drive rapid testing, contact tracing, and create dedicated containment zones. However, the rural infrastructure is not as well developed as it is across cities. So, when the respective tests are taking more than a week across some cities, the plight of our rural geographies – home to about two-thirds of the Indian population – in the second wave is easily understood. The fact the RT-PCR tests also give a ‘false negative’ for some of the variants only adds to the situation.

RTPCR is less reliable and is delayed during wave 2

Covid virus variants are going into lungs

Rural areas have poor access to radiologists

Early intervention reduces the need for oxygen

Reach via WhatsApp, no integrations needed

RTPCT is less reliable and is delayed

Covid virus variants are going into lungs

Rural areas have poor access to radiologists

Early intervention reduces the need for oxygen

Reach via WhatsApp, no integrations needed

"Built for Doctors" AI driven easy & quick
X-Ray report for COVID Intervention

English
Kannada
Tamil
Marathi
Bengali
Telugu
Hindi
Malayalam

How it works?

Learn about why we created XraySetu and why
artificial imaging is needed for medical imaging.

A rural doctor takes a phone picture of Chest Xray of a suspected patient

The doctor sends the Xray picture over to a Whatsapp number via chat bot

Technician does Image Cropping Anonymization

Xray Setu AI Service Analyses to generate a report

Report with probability of COVID, pneumonia, markings on the lung image in 2 mins.

Doctor receives the report on the WhatsApp and appropriately advices the patient

1.

A rural doctor takes a phone picture of Chest Xray of a suspected patient

2.

The doctor sends the Xray picture over to a Whatsapp number via chat bot

3.

Technician does Image Cropping
Anonymization

4.

Xray Setu AI Service Analyses to generate a report

5.

Report with probability of COVID, pneumonia, markings on the lung image in 2 mins.

6.

Doctor receives the report on the WhatsApp and appropriately advices the patient

Key Product Capability / features

Simple mobile messaging Interface makes it simple
and accessible service

Works on low resolution images sent over mobile messaging system

Semantic annotations of affected areas for review by doctors

Localized heatmap for easy review

3 page automated report generation with annotated images and probability of covid
or pneumonia

Framework suitable for several lung abnormalities and variants of infection

Marking 10 different lung abnormalities

Uses Deep-Multi-task Learning Network

No integration needed with existing systems. Easily pluggable for any medical unit.

Simple & Quick

Simple & Quick

Trusted By

300+ Doctors and counting

In the interest of reaching more doctors in rural areas, we are keeping the beta free of cost, special thanks to our generous infrastructure partners.

In the interest of reaching more doctors in rural areas, we are keeping the beta free of cost,
special thanks to our generous infrastructure partners.

What doctors and technicians say

Learn about why we created XraySetu and why
artificial imaging is needed for medical imaging.

Supported by

Try using the product

Its a simple 2 step signup and you can start
using the product via whatsapp.

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