CE-certified medical application for skin health issues

Self-check your skin for cancer with an AI-powered phone app.

Medtech
Mobile
Netherlands

Project Overview

SkinVision is a pioneering mobile application that empowers users worldwide to perform self-checks for skin health issues, including skin cancer, just by using their smartphones. As the first CE-certified medical app in this field, SkinVision leverages sophisticated AI technology developed in collaboration with leading dermatologists to provide accurate, immediate risk assessments, enhancing early detection and enabling proactive skin care management. This innovative solution has significantly impacted the healthcare industry, marked by its substantial user base and the detection of numerous skin cancer cases.

Context

The healthcare industry has surpassed $10 trillion in 2022 and skin cancer affects over 1,5 million new patients every year. Together with the SkinVision team, we wanted to build a platform that allowed users to keep their skin healthy with regular self-checks using only their mobile phones. SkinVision (Netherlands) had an established codebase and an internal team in Amsterdam when we started working with them. They were in charge of business, marketing, customer care, and product. Our team took over the mobile app development process for iOS and Android platforms.

Impact

Impact

$13 million

funding raised until 2018

2 million+

active users

27.000+

skin cancers found

"I appreciate Atta Systems for their professionalism. The whole team is very product-oriented and delivers a great experience to our final users. We were impressed with their proactiveness. They always reach to anybody inside our team to remove blockers in the development process. I highly recommend working with them!"


Erik de Heus

CEO @ SkinVision

Challenges

When we designed and created SkinVision we encountered a few challenges: 

  1. Accuracy and Reliability: Ensuring the AI provides reliable skin assessments to avoid misdiagnoses, which can lead to delayed treatment or unnecessary anxiety.
  2. Data Security and Privacy: Implementing robust security measures to protect sensitive health data and ensuring compliance with regulations like GDPR and HIPAA.
  3. Image Quality and Standardization: Developing algorithms that can handle variations in smartphone cameras and lighting conditions to consistently produce high-quality images.
  4. User Interface and Experience: Designing an intuitive app that is easy for diverse users to navigate, particularly when they may be experiencing health-related stress.
  5. Scalability and Performance: Ensuring the app’s backend can handle growing data volumes and maintain high performance across different devices.
  6. Regulatory Approval and Compliance: Navigating varying global medical device regulations and continuously adapting the app to meet these standards.

Solution

Atta Systems team joined SkinVision, a funded medtech startup, helping the product team with mobile app development (on Android and iOS), mobile image acquisition, and occasionally frontend and product marketing services. We provided the software development for the iOS and Android apps and different web apps, image processing and computer vision skills for on-device image acquisition, software architecture expertise for the backend infrastructure, and product marketing: setup and monitoring product analytics (mobile, web, backend).

SkinVision supports users to check their skin for signs of skin cancer with instant results on their phones with the help of our clinically proven technology, combined with the knowledge of dermatologists specializing in skin cancer.

We created the app to use machine learning giving users the risk indication in just a few seconds. A research team was also involved in the development of the risk assessment algorithms. We had to set device real-time image acquisition with specific conditions, build a complex code-base  for iOS and Android, and ultimately hand over work to the new internal development team, at the end of 2018.

The collaboration was a success, we started with app ratings below 3* on the App Store and Google Play store and managed to successfully raise the user ratings to over 4.5* on average on both stores.

SkinVision supports users to check their skin for signs of skin cancer with instant results on their phones with the help of our clinically proven technology, combined with the knowledge of dermatologists specializing in skin cancer.

We created the app to use machine learning giving users the risk indication in just a few seconds. A research team was also involved in the development of the risk assessment algorithms. We had to set device real-time image acquisition with specific conditions, build a complex code-base  for iOS and Android, and ultimately hand over work to the new internal development team, at the end of 2018.

The collaboration was a success, we started with app ratings below 3* on the App Store and Google Play store and managed to successfully raise the user ratings to over 4.5* on average on both stores.

User Flows

For each flow in SkinVision, we develop user flow diagrams just like this one to help us understand what the optimal user journey looks like.

For each flow in Medicai, we develop user flow diagrams just like this one to help us understand what the optimal user journey looks like.

Design System

The SkinVision Design System provides a unified component base for both designers and developers to ensure consistency throughout all products.

The Medicai Design System provides a unified component base for both designers and developers to ensure consistency throughout all products.

DICOM Viewer

Medicai's DICOM viewer supports all imaging types, provides efficient storage, and allows seamless access to medical images from any device, including mobile ones through the Medicai Mobile app, enhancing real-time collaboration and patient care.

Below you can play with Medicai’s DICOM Viewer directly embeded in our website. Inside the viewer, you can see a MRI imaging study.

Impact

Services

Product Design

Engineering (Software Dev, AI) & QA

Mobile Development: Developed native mobile applications using Swift and Objective-C for iOS, and Java and Kotlin for Android.

Web Development: Provided web development services for several R&D applications.

Research & Development: Engaged in R&D, exploring innovative methods for image acquisition, including validation and automatic capture of mole images using the phone’s camera.

AI Algorithms: Developed AI algorithms to enhance the image acquisition process, supporting the functionality of capturing detailed images.

Quality Assurance: Conducted thorough QA testing to ensure the applications met high standards of performance and security.

Infrastructure (DevOps)

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