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5 Top Image-Based Diagnostic Startups Impacting Healthcare

We analyzed 400 Image-Based Diagnostic Startups. Athelas, Niramai, Imageens, Leben Care Technologies & Nico.lab develop 5 top solutions to watch out for. Learn more in our Global Startup Heat Map!

Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on solutions for the healthcare industry. As there is a large number of startups working on a wide variety of solutions, we decided to share our insights with you. This time, we are taking a look at 5 promising image-based diagnostic startups.

Heat Map: 5 Top Image-Based Diagnostic Startups

For our 5 top picks, we used a data-driven startup scouting approach to identify the most relevant solutions globally. The Global Startup Heat Map below highlights 5 interesting examples out of 400 relevant solutions. Depending on your specific needs, your top picks might look entirely different.

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Which startups develop the other 395 solutions?

 

Athelas – Blood Tests

Startups are developing blood testing systems that use computer vision algorithms for the analysis of blood samples. Such tests are used for the diagnosis of a range of disorders including infection, anemia, and certain cancers.

The US-based startup Athelas utilizes computer vision technology to help oncology patients track their white blood count and neutrophils. Athelas’s blood-testing device performs analysis within minutes and requires only a fingerprick of blood. The device is FDA cleared for use in point-of-care settings.

Niramai – Breast Cancer Screening

Breast cancer is one of the leading causes of cancer deaths in women today. Early diagnosis of this dangerous disease is crucial for decreasing mortality rates. One of the solutions to the early diagnostics challenge is the development of thermal imaging diagnostics technologies.

Indian startups Niramai develops a breast cancer screening solution that uses Artificial Intelligence (AI) and machine learning algorithms for thermal image processing in order to ensure reliable and accurate breast cancer screening. The company provides complete hardware and software solutions for hospitals, individual medical practitioners, as well as a portable device for large-scale screenings in rural and semi-urban areas.

Imageens – Cardiovascular Diseases Diagnostics

Cardiovascular diseases are the leading cause of death today. That’s why innovations in diagnostics and the treatment of these diseases are so important. One of the examples of such innovations is an image analytics platform that processes MRI data with AI algorithms in order to evaluate arterial functions.

Based in France, Imageens develops a range of web-based platforms for the early detection and diagnosis of cardiovascular diseases. The company’s products process MRI images with AI algorithms in order to create a morphological and functional analysis of the arteries, as well as an evaluation of the left ventricular diastolic function.

Leben Care Technologies – Retinal Screening

According to the NGO Light for the World, which is working to reduce preventable blindness, about 80% of blindness is avoidable. Machine learning and computer vision help in solving this challenge by enabling automation and increasing the accuracy of the retinal screening process. These technologies make the early diagnosis of diabetic retinopathy, glaucoma, macular degeneration and other retinal diseases possible.

Singaporean startup Leben Care Technologies develops Netra.AI, a technology platform that uses a four-step Deep Convolutional Neural Network for automated and point of care retinal image analysis. This technology is designed to enable a scalable, low cost, fast and accurate automated risk profiling powered by AI.

Nico.lab – Stroke Diagnostics

Millions of people die from strokes every year, millions become disabled for the remainder of their life. Quick and accurate stroke diagnostics based on brain images is crucial for timely and effective treatment. Startups are developing computer vision and artificial intelligence solutions in order to support clinicians in the challenging task of brain image evaluation.

Netherlands-based Nico.lab develops StrokeViewer®, an AI-powered cloud-based clinical decision support system, that makes a complete assessment of relevant imaging biomarkers within three minutes. The system also enables a rapid image exchange between hospitals and personal devices for the timely triaging of stroke victims.

What About The Other 395 Solutions?

While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence for your Proof of Concept (PoC), partnership, or investment targets. The 5 image-based diagnostic startups showcased above are promising examples out of 400 we analyzed for this article. To identify the most relevant solutions based on your specific criteria and collaboration strategy, get in touch.

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