Project Abstract

This project targets the need in the field of Artificial Intelligence. This project mainly focuses on its use in the healthcare system, it increases usability, accessibility, and understanding, particularly by non-experts. As such, the rapid development of AI in critical decision-making processes calls for user-friendly solutions that make their explanations more understandable, Key finding emphasizes the potential of AI democratization in healthcare, helping to build trust across various disciplines. The insights gained show that the role of the user-centric design is a crucial breakpoint between the technological advancement in healthcare and its adoption. The main outcome of this project is a version of ExMed, whose release can revolutionize the integration of AI in healthcare practices. Conclusion: This work presents some previously undiscovered lines of AI integration in healthcare, and it shows pragmatic solutions to the gap between technology and end-users. By emphasizing usability and accessibility, this research sets a course toward a more inclusive and effective healthcare environment. All in all, the world acquires a glimpse into the potential of user-centric AI solutions for a more effective patient outcome and streamlining healthcare services.

Keywords: Explainable Artificial Intelligence, XAI Models, Enhancing Software Capabilities

 Conference Details

Session: Presentation Stream 9 at Presentation Slot 2

Location: GH022 at Tuesday 7th 13:30 – 17:00

Markers: Raziyeh Moghaddas (GTA), Ulrich Berger

Course: MSc Advanced Computer Science, Masters PG

Future Plans: I’m looking for work