i-Nside is a worldwide leader in endoscopic technology. With a small device you can attach to any smartphone, i-Nside can take professional-grade medical images of the human ear and use them to diagnose problems. With so many medical images on file, i-Nside wanted to build a diagnostic platform that would be able to assist doctors in identifying ear problems.
1. AVOID TECHNICAL DEBT: What’s the best way to build custom visual recognition into your product?
Getting started with visual recognition and machine learning can be both challenging and expensive. As a small team, i-Nside needed a cost-effective and easy way to build very advanced artificial intelligence technology into its product without incurring technical debt.
2. TRUSTWORTHY RESULTS: How do you ensure that your visual recognition results are accurate?
The stakes are pretty high when it comes to visual recognition and something as life-changing as a medical diagnosis. i-Nside needed a solution that would not only provide accurate results for a very esoteric data set (pictures of the insides of ears) but would also be able to improve with more training.
“Clarifai differentiates itself by providing tools and solutions that businesses and healthcare specialists can use right now, not in ten years. With Clarifai built into our product, we’re achieving 99% accuracy with our visual diagnostic tool!” – Dr. Laurent Schmoll, i-Nside CEO
i-Nside uses Clarifai’s visual recognition solution to build an accurate medical diagnosis platform that helps doctors all over the world provide the best medical care to their patients.
Diagnosing ear problems is a very specialized field of expertise within medicine. General practitioners usually refer people with ear problems to Ear, Nose, and Throat (ENT) specialists. i-Nside wanted to build a diagnostic tool that would assist general practitioners and nurses to identify and treat ear problems accurately, thereby making the best medical care accessible to anyone in the world.
With over 100,000 ear images collected from their widely distributed endoscopic tool, i-Nside asked Clarifai to build a custom visual recognition model especially for ear pictures and video. Now, Clarifai’s visual recognition technology powers the software layer in i-Nside’s line of endoscopic hardware, enabling the tool to not only take pictures of the ear but also to analyze the results – all in one small, affordable, mobile package that anyone can use!
Minimum costs, maximum results
i-Nside had to prove that an assisted diagnosis tool could work before they could get the funding and approvals to put it into production. However, like many startups, they faced a “chicken or egg” problem – they didn’t have the funding to build an expensive A.I. visual recognition product, but they wouldn’t receive more support unless they proved visual recognition worked.
i-Nside partnered with Clarifai to create a cost-effective custom visual recognition model that they built into a beta product to demonstrate the power and accuracy of visual recognition without breaking the bank.
“Even though we work with the best hospitals in the world, we are still a small startup. Clarifai helped us prove our idea in an affordable and speedy way.”