Tell Me Why: The Imperative of Explainability in AI for Healthcare

Artificial Intelligence is revolutionizing healthcare by enhancing diagnostic accuracy, personalizing treatment plans, and it can potentially improve patient outcomes. However, the rapid demand for AI integration into healthcare systems raises significant concerns about the transparency and explainability of advanced technologies. In a domain where decisions can mean the difference between life and death, the ability to understand and trust AI decisions is both a technical requirement and an ethical imperative.Explainability refers to the ability to understand and articulate how an AI model arrives at a particular decision. In simple AI models, like decision trees, this process is relatively straightforward. However, in complex deep learning models with numerous layers and intricate neural networks, tracing the decision-making process becomes nearly impossible.