I have some university background in computer science but I'm self-taught in machine learning/AI skills and multiple languages and frameworks since then. I've also developed and published other apps on the App Store which were useful learning experiences and a good base for building the scanoma app.
The data science part of the project was the most difficult. Collecting quality skin cancer data and images, preparing and cleaning the data, and making sure the different devices/cameras produce images for accurate analysis by the app and by physicians.
One of the first apps I've published to the app store while traveling! The app is called "itpg - find restaurants nearby" . It uses augmented reality and emojis to show you if the restaurant/cafe/pub in front of you is good or not that great. Another app that I like from other developers is Paper by WeTransfer.
More than a year, and it's still in continuous development. Scanoma is the kind of app that gets more performant the more it it's used since the algorithm get re-injected with patient data that improves the existing algorithm and the app in general.
Users with suspicious skin lesions that live far from dermatologists or prefer the convenience of online dermatology. Users who are looking for reassurance for non-urgent skin issues for which online doctors can provide their opinion.
I believe the care we took to collect and painstakingly clean up medical imagery is something we are proud of. Additionally, we are really proud of our UI/UX design and personal and approach to customer care. The main way the app is better though is difficult to reproduce an algorithm that keeps improving based on the usage of the app. The more users use the app, the better the app becomes at recognizing suspicious moles.
We are planning to scale horizontally to other skin conditions such as insect bites, rashes, and other non-urgent skin conditions that online doctors can diagnose or at least sort out.
If you have friends/family that do not have available skin specialists nearby or have suspicious non-urgent skin issues share the app with them help us bring more awareness to skin cancer and and encourage patents to get help early !
Do you have a mole you're unsure about? A skin blemish that's changing color or appearing to grow in size? Scanoma checks your moles, calculates your skin cancer risk, and connects you with trained dermatologists for a professional second opinion.
With the power of computer vision and the expertise of licensed medical practitioners, scanoma helps you learn about skin issues and get feedback on worrisome skin problems. Simply snap a picture of your mole and then send it to a scanoma doctor for a checkup.
With scanoma, get a free diagnosis with our AI algorithm trained from thousands of images and get a second opinion from a trained dermatologist from the privacy of your home and using your phone. Detect skin cancer risks today.
Take care of your skin and make sure you get it checked often with scanoma.
- Computer vision analysis is never 100% accurate. scanoma tells you if your image looks like a regular mole or skin cancer based on similar images.
- The free scanoma AI exam does not replace the physical evaluation of skin cancer by a trained doctor. If in doubt, connect with a dermatologist on scanoma for a second opinion or have your skin issues physically checked by a doctor.
- scanoma works best with clear, unobstructed skin images. At this point, scanoma does not work with tattooed skin.
- scanoma works best with push notifications enabled. Make sure scanoma notifications are enabled on your device.
Date: November 19, 2020
Developer: Al-Nouaman Mekouar
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