Project

21 Sept 2022

Medsol AI Solutions

Medsol AI Solutions is dedicated to promoting early breast cancer detection to reduce associated mortality rates. They sought our expertise to develop a proof of concept for breast cancer scanning, utilizing accessible and relevant technology to ensure scalability across Africa.
  

What we had to solve 

Breast cancer remains one of the highest mortality rates amongst woman in South Africa. This is due to ineffective and delayed diagnosis especially in rural areas.

When the Medsol AI Solutions team approached us they had already built their own AI software solution. Medsol AI Solutions’ software uses deep machine learning to identify and predict breast cancer subtypes. It was our role to design and develop a solution that enabled people across Africa gaining access to this AI Software.

How we solved the problem

We identified and scoped a technical proof of concept (POC) to evaluate the feasibility of our approach. After successfully implementing and testing the POC, we moved forward with developing the minimum viable product (MVP). The app was designed using native Android Material guidelines and components to ensure a seamless user experience and compatibility with a wide range of devices. This design approach not only improved usability but also facilitated smoother adoption and integration across different regions in Africa.

User Interface and Experience Design goals

  
Familiarity

Understanding the need for Medsol AI Solutions to be accessible and user-friendly for a wide audience was crucial. To achieve this, we designed the app based on native Android Material guidelines. This approach ensures a familiar and intuitive interface, reducing the learning curve and allowing users to quickly benefit from the product's features. By leveraging these established design principles, we aimed to create an experience that is both seamless and efficient, enabling users to focus on the app's core value with minimal effort

Accessibility

Recognizing that different people have different abilities, we aimed to create a solution that is usable by everyone. To achieve this, we focused on the accessibility of the Medsol AI app, incorporating features such as dynamic text, appropriate contrast ratios, and inclusive imagery. These design elements ensure that the app is accessible to users with varying needs, making it a truly inclusive solution.

Hierarchy

The most important feature of the app is its scanning functionality. To ensure users can easily access this feature, we employed information architecture and visual hierarchy principles. These design strategies help guide users intuitively to the scanning functionality, enhancing the overall user experience and making the app more effective in achieving its purpose.


Android app development goals 

   
Flexibility

To ensure the Medsol AI Solutions app is scalable, we developed it with a modular architecture. This approach allows for the independent development and integration of new features, significantly reducing both the cost and time required to bring these features to market. By compartmentalising different functionalities, we can more efficiently update and expand the app, ensuring it remains adaptable to future needs and technological advancements. This modular design not only enhances scalability but also improves maintainability and long-term viability.

Usability

We utilised native Android Material components to build accessible features, such as text scaling, ensuring the app is user-friendly for individuals with varying needs. Additionally, we implemented Android App Links to provide seamless navigation between the Medsol AI Solutions web platform and the mobile app. This integration allows users to transition effortlessly between different devices, enhancing their overall experience and engagement with the platform.


Summary

The Medsol AI Solutions Android app is designed to be fully responsive across both mobile and tablet devices, ensuring accessibility and high performance. This responsiveness guarantees that accurate cancer detection is available to everyone who needs it most.

Medical personnel can use the Medsol AI Solutions app on their phone or tablet to capture patient details, record ultrasound scans, and note impressions for further referral assessments. When used in conjunction with the companion handheld Clarius scanner, the app can accurately provide real-time differential diagnoses. This seamless integration of hardware and software ensures that healthcare professionals have the tools they need for timely and precise cancer detection.


Post Project

Medsol AI Solutions got featured on France24 for launching breast cancer identification software.

https://www.france24.com/en/video/20220204-south-african-entrepreneur-launches-software-for-breast-cancer-identification

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We'd love to hear about your project and how we can help bring your ideas to life.

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© 2024 Glucode. All rights reserved.