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medsol AI

Early breast cancer detection with AI

Medsol AI Solutions promotes early breast cancer detection to reduce mortality rates associated with it. They needed our help creating a proof of concept for scanning breast cancer using relevant and accessible technology to scale across Africa.

services

UX Design

UI Design

Native Mobile Development

Machine Learning

Platform

Android

industry

Health

client

Medsol AI

MedSol AI Solutions, Pioneering AI Healthcare in Africa

MedSol AI Solutions, a healthcare software development company, aims to revolutionise early disease detection in Africa through advanced AI technology integration. The project's primary objective was to transform MedSol's cutting-edge medical AI software into a scalable, accessible mobile-based screening tool that could assist healthcare professionals in delivering accurate, timely medical diagnoses, particularly in resource-limited settings.

Glucode partnered with MedSol AI Solutions to bring this vision to life, leveraging design and development expertise to build a robust and user-friendly artificial intelligence app. This collaboration resulted in an innovative health app that serves as both a symptom checker and a powerful tool for early intervention in breast cancer cases.

The Critical Need for AI-Powered Health Assessment in Africa

Breast cancer remains a leading cause of mortality among women in South Africa, with rural areas facing the highest risks due to limited access to early diagnosis and treatment. MedSol AI Solutions identified a critical need for a mobile-based screening tool to empower healthcare professionals with quick and reliable breast cancer screening technology. However, the challenge extended beyond medical needs; the project also demanded technical integration of advanced AI with accessible and practical mobile health technology, ensuring the solution could be deployed at scale. This innovative approach combines the benefits of telemedicine, smart health monitoring, and AI-assisted medical triage to address the pressing healthcare needs of underserved populations.

Developing a Proof of Concept for AI-Enhanced Medical Imaging

We began by identifying and scoping a Proof of Concept (POC) to validate the feasibility of integrating MedSol's AI technology into a mobile platform. The primary objective of the POC was to test the AI's capability to analyse breast ultrasound images in real-time through a mobile app interface, essentially creating an AI doctor for breast cancer screening.

Through strategic planning and execution, the POC demonstrated successful integration of machine learning algorithms with smartphone sensors, paving the way for full-scale development of this groundbreaking healthcare accessibility app.

From Concept to Minimum Viable Product: A Journey in Digital Health

Building on the POC's success, Glucode transitioned to developing a Minimum Viable Product (MVP). The MVP phase focused on delivering critical functionalities while maintaining the potential for future scalability. Key features included the scanning functionality, a modular architecture that supported updates, and a strong emphasis on accessibility to accommodate diverse healthcare settings.

This phase also explored the potential for expanding the app's capabilities to include a symptom checker online, enabling users to perform preliminary health assessments before seeking professional medical advice.

Designing an Intuitive Interface for Healthcare Professionals

The design phase prioritised familiarity, accessibility, and clear visual hierarchy. We utilised Android Material guidelines to create an intuitive interface, ensuring healthcare professionals could easily navigate the app. The design balanced modern aesthetics with practical usability, incorporating existing assets to maintain brand consistency.

Our first step was to streamline the navigation structure, reducing complexity and ensuring healthcare professionals could access key features quickly. The design leveraged an extensive range of visual assets, including user journey maps, app icons, screens, User Interface (UI) elements, design library components, typography, and colour palettes. Each asset was purposefully used to enhance clarity and create a cohesive and professional interface for this AI-powered health data platform.

Technical Achievements: Integrating AI in Smartphones for Medical Diagnosis

A modular architecture enabled future-proofing the app, allowing seamless updates and feature additions. Key technical achievements included integrating the app with Clarius hardware for real-time breast ultrasound scanning and implementing robust functionalities such as PDF export for diagnostic reports.

  The development approach balanced delivering core functionality with enabling future enhancements, such as personalised health recommendations and AI-driven diagnostic support. This forward-thinking approach positions the app as a comprehensive telemedicine platform capable of adapting to evolving healthcare needs.

Core Features

Import or Scan Ultrasounds

To support the workflow of healthcare professionals, we designed a clear and intuitive screen that presents two primary actions: connect to Clarius for real-time scanning or import existing ultrasound images. This feature exemplifies the app's role in non-invasive screening and early disease detection.

Provide Differential Diagnosis

To ensure an unobstructed view of the live ultrasound scan, we designed a minimal yet effective overlay chip that displays the AI-driven malignancy percentage. This feature showcases the power of AI-enhanced medical imaging in providing real-time insights to healthcare providers.

Generate Reports and Send for Referrals

The report design ensures all necessary patient details, diagnostic insights, and scan images are clearly structured for seamless specialist referrals. This functionality supports remote healthcare solutions and facilitates collaboration between healthcare providers, even in resource-limited settings.

MedSol AI's Impact and Recognition

The MedSol AI app gained significant recognition with a feature on France24, showcasing its potential impact on healthcare accessibility and early cancer detection. This coverage highlighted the app's role in healthcare delivery optimisation and its potential to transform medical practices in underserved areas.

With proven clinical studies and SAPHRA approval, MedSol AI delivers a 97% accuracy rate as a diagnostic medical software device.

"Glucode was able to successfully produce and launch a fully-functioning app in the market. The team was consistently communicative throughout the partnership, and internal stakeholders were particularly impressed with the vendor's development prowess."

Dr Kathryn Malherbe

CEO of MedSol AI Solutions

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