The customer chose to protect their confidential information
An AI Imaging Tool for Diagnostics
About the customer
In this business case, our customer was a UK-based startup focused on AI and ML tools for processing DICOM images (MRI, CT, X-ray, and PET) and non-imaging data. It provides R&D professionals across life sciences, academic, and other organizations with advanced cloud-based data analytics tools integrated with various imaging modalities and data sources (PACS, EHR, etc.).
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Business requirements
The AI medical imaging solution we worked on is used for early diagnosing neurological disorders, such as Alzheimer’s disease and multiple sclerosis, as well as for predicting the velocity of memory and cognitive deterioration. The platform leverages AI-enabled multi-modal analysis of data acquired from different sources: medical scans, EHRs, wearable devices, genomic repositories, and more. Andersen assisted the startup team with Front-end and Back-end development to roll out an MVP with a user-friendly interface, integrated with a sophisticated AI-rich back-end part. With this solution, scientists from all over the world can now upload DICOM scans of brain tissue alongside non-imaging data for further processing by unique AI/ML algorithms, effectively identifying the earliest signs of some of our society’s most devastating diseases.
Front-end:
React
Back-end:
Python
Additional services:
Manual QA, DevOps, UX/UI, PM, BA
Project details
Andersen's team has contributed to the development of an AI-focused, scalable, and customized clinical decision support platform aimed at diagnosing and predicting progressive degenerative brain diseases. The solution uses multi-modal (MRI, PET, CT, X-ray) imaging and non-imaging data.
Application functionality
- A user-friendly and task-driven interface for clinicians and medical researchers, which doesn't require ML knowledge or skills in ML programming for AI medical image analysis;
- Dynamic image analysis and the possibility to conduct research projects by using several clinical variables;
- Automatic and reliable DICOM file de-identification for research purposes;
- A fast and secure DICOM uploader with unique algorithms for further analysis;
- The possibility to review the analysis progress and produce visually comprehensible results;
- Further integration with hospital PACS and EMRs.
Project results
- A new system is developed by our team following SOLID, REP, and CCR architectural principles, as well as using cloud technologies;
- Easy aggregation, management, standardization, and sharing of all medical images are ensured in order to significantly increase the number of research-based users;
- The platform has a user-friendly interface to smartly process the uploaded images by unique algorithms, review analysis progress, and visualize its results.
Responsibility of business analysts
- Eliciting requirements;
- Collaborating with stakeholders to confirm these requirements;
- Managing and communicating requirements;
- Managing the scope of the solution;
- Preparing user stories;
- Identifying opportunities for process improvements;
- Working with change requests;
- Conducting meetings with stakeholders to share ideas.
Activity diagram: Log-in process
Project flow and results
- The business analyst assigned to the project communicated with stakeholders to figure out their needs and worked directly with them, continuously re-evaluating to confirm the validity of the requirements;
- Also, our company assisted the customer with both the Front-end and Back-end aspects of MVP development. Moreover, we assumed responsibility for the BA stage – our team ensured the resulting solution would offer advanced AI-driven functionalities with a convenient-to-use interface to work with complex medical neural cases;
- Useful, clear, and actionable Vision and Scope document and a detailed user story map were created by us during the Discovery phase;
- Thus, as a result of our involvement, the customer has obtained a reliable solution that grants access to a significant number of users;
- To sum up, the platform developed by our team is notable for its simple and intuitive interface, which makes the solution easily accessible from the customer’s perspective.
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What happens next?
An expert contacts you after having analyzed your requirements;
If needed, we sign an NDA to ensure the highest privacy level;
We submit a comprehensive project proposal with estimates, timelines, CVs, etc.
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