Description
Stroke is a disorder characterized by the blockage of blood vessels. It is one of the leading causes of death and long-term disability worldwide, which makes an early recognition and treatment critical to improve the survival and functional outcome of patients [1].
This project aims to support patients with stroke risk and clinicians in the diagnosis and management of the stroke disease. The goal is to develop a web application that provides decision support to clinicians, and simplified views to patients to help them to understand their risk and aid their recovery process. A first design draft exists that can be used as basis for brainstorming [2].
Tasks
- Review the state of the art in design methodologies and LLMs for visualization
- Draft and evaluate different interface designs (e.g., using the five design sheets methodology [2] or comparable approaches)
- Use LLMs to transform the most practicable design into an interactive web application with simulated data scores
- Assess the LLM outcome [3] based on metrics from literature (e.g., code-quality, visual representations, hallucinations, etc.), and enhance it to meet the desired outcomes
- Write a report on your approach summarizing related work, your methodology, and findings
Requirements
- Interest in design methodologies and GenAI/LLMs
- Programming experience of web applications is advantageous
Environment
The project should be implemented as web application (e.g., JavaScript/React/Docker).
References
[1] https://pmc.ncbi.nlm.nih.gov/articles/PMC7589849
[2] https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7192707