【AEA 2020 Alumni】
Worldwide, an estimated 3.6 billion diagnostic medical examinations are performed every year and there’s a severe shortage of radiologists who can interpret these scan. This leads to large influx of patients, understaffed radiology departments, and overworked radiologists.

In cognizance of this demand, we are developing a SAAS based artificial intelligence cloud platform that can reduce delays in diagnosis, facilitate earlier detection of diseases and reduce cost to patients.

We have been in the field of AI for the past 2.5 years, our passion, expertise and potential to impact global health experience has been well received and rewarded by esteemed organisations. We have previously reported the utility of using artificial intelligence in the early diagnosis of lung cancer from CT scans, lung abnormalities from chest x-rays and COVID-19 from CT scans and x-rays.

Our AI algorithm for Lung Nodule detection stood first in India in LUNA-16, an International AI hackathon and is currently being clinically validated at Tata Memorial, largest cancer hospital in India. Our work for covid is recognized by the government of India.

Our cloud infrastructure is supported by NVIDIA and Microsoft. Our technology is generic and can be extended to identify diseases from x-rays, CT, MRI, mammography and other modalities.

CEO and Founder

Nominated by

Executive Director,
It is of great delight and pride to introduce our MedTech portfolio company Endimension Technology. They use AI/ML to interpret medical images. Their AI automatically recognizes complex patterns in radiographic images and provides quantitative & qualitative assessments of radiographic characteristics. They are developing products to address global market needs, to meet the rising demand for imaging examinations, prevent diagnostic errors, and enable sustained productivity increases.
Unlike other medical devices, their products can be integrated naturally into established communications channels at medical facilities. Research trends and experts underline how AI will revolutionize radiology in the long term.

AI shows promise to enable health delivery organizations to provide faster, more effective care to their patients. In the next five to 10 years, artificial intelligence is likely to fundamentally transform diagnostic imaging. So, let’s make a better future for radiology with AI.