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.
•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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