Understanding the early patterns of arthritis using advanced intelligence for better life.

What integrated towards this problem?

Osteoarthritis (OA) is a main and serious public health problem that primarily affects the elderly people. The total health care expenditure of this ailment has been estimated to be $300 billion annually in the US. The incidence of OA in the United States reached a total of 54 million cases in 2017 and is expected to grow to 67 million cases by 2030. On the other hand, in India the growing rate of OA is expected to be 60 million cases by 2025. OA not only shortens the number of healthy years of life but also increases mortality and comorbidity like depression. Therefore, it is a very painful disease to both patients and society. However, there is no approved disease modifying treatment available to till date for OA.

Simple and accessible integration with radiographic devices

MRI devices

Seemlessly integrate with the output of MRI.

Cloud Storage

Analysis the radiographic corpus from AWS S3, Azure, and Google storage.

Local Configuration systems

Can integrate with on-premise system and run for both CPU & GPU.

Guide patients to the right care

  • Understanding the existing patterns in knees from the radiographic corpus.
  • Detection and segmentation of arthritis region.
  • Classification of arthritis based on the severity of detected region.
  • Futuristic analysis of knee health as an early prevention from arthritis
  • Insightful and decisive report prescription with meaningful visualizations.
Meet our founding team

We glow all the way up

Dr. I.S Gupta

Founder

Dr. Manish (Ph.D.)

Chief Research Officer and Head of innovation team

Dr. Kiran Raja

Product Advisor
Associate Professor, NTNU, Norway.

Dr. Indu Bala

AI Consultant
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Let's connect for seed-funding

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Frequently asked quetions

The product that is to be developed here for funding will focus on the early detection of osteoarthritis (OA) in patients. By leveraging the concepts of artificial intelligence, the Internet of Things, computer vision, big data, cloud computing, medical intervention, clinical trials, angular script for UI/UX, and Kotlin for cross-platform mobile applications, we will be able to provide affordable, accurate, quick, and promising results. Also, this product will provide an early prediction report regarding the OA to patients for their healthy future. In this product, an AI-based model is applied to the MRI or radiology image for the detection and early prediction of OA in the body. The reports, in the form of dashboards, will be shared through the mail with the respective patients and doctors. Till now, there is no healthcare product that provides early diagnosis based on radiology images.