AI Explainability is now available in the Piction Health app

At Piction Health, our mission is to help every patient with a skin disease go from sick to healthy as fast as possible. We also believe in being completely open and transparent about new features on our roadmap that equip doctors with the right set of tools to make the most informed decision the first time.

We build new features after consulting with our internal team of primary care physicians, dermatologists, and clinician users of our app.

What is Explainable AI (XAI)?

Specifically in the dermatology domain, Explainable AI models provide valuable hints to clinicians on the region of the image the AI focused on the most to arrive at a result. Photos taken with a smartphone have a lot of variation in them, unlike radiology and pathology images. Highlighting the specific region within an image provides the clinician confidence that the AI is focusing on the right region and information to generate an accurate visual search.

The challenge

Our app uses AI to build this list of conditions by evaluating the specific features in the photo of the skin condition.

However, it’s not always obvious which area of the rash to focus on. There are multiple diseases where the appearance of the rash varies by severity, body part and skin tone. This makes it tough to narrow down on the part of the rash to focus on to arrive at a conclusion with confidence.

How we solved the challenge

Uncovering the blackbox of AI decision making is critical for doctors to understand how our AI generates its results so that they can confidently interpret these results and make the best decisions possible.

The example below provides a peek into how we help physicians understand AI decision making by producing a heat map of pixels in the original image that were used to produce a differential diagnosis.

What’s next?

If you are a primary care physician interested to learn more and adopt our iOS app in your clinic, please fill out this form. If you are already a user, just update your app by going on the Apple App Store to get access to this feature.

— Pranav Kuber, Cofounder and CTO



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