Explainability of AI

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Overview

This lecture is part of the 3rd Public Health Conference in 2025, offering healthcare professionals the opportunity to explore innovative AI solutions for managing chronic diseases, ultimately improving health outcomes and system efficiency. This year's theme emphasizes the role of artificial intelligence (AI) in addressing the challenges posed by chronic diseases, which significantly burden healthcare systems globally.

What I will learn?

  • •Define explainability in the context of artificial intelligence and its importance in various applications.
    •Distinguish between explainability and interpretability in AI systems.
    • Explore how explainability is applied across different healthcare desiplines.
    •Describe the primary challenges in achieving explainability in AI models used in healthcare, such as model complexity and data diversity.
    •Analyze how the lack of explainability can adversely affect trust and acceptance among healthcare professionals and patients.

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