Project - EASUL

EASUL (Embeddable AI and State-based Understandable Logic toolkit) is a data-driven framework targeted at clinical decision support applications. EASUL makes it simple and straightforward to create data-driven plans and 'drive' them or utilise them in your own tools and systems. It uses the concept of data-driven plans: a series of determinative and connected steps supporting algorithms of different modalities—varying from simple score-based algorithms and logical (if/then) comparisons to AI models which when executed would determine a specific patient journey.

References

1. Free RC, Rojas DL, Richardson M, Skeemer J, Small L, Haldar P, et al. A data-driven framework for clinical decision support applied to pneumonia management. Front Digit Health 2023;5. https://doi.org/10.3389/fdgth.2023.1237146.

Links

• EASUL github link
• Software created from ‘building blocks’ could incorporate artificial intelligence, supporting medical staff with workflow and disease management, study finds