Healthcare AI: The Role of Explainability in Diagnostics — Industry Case Studies in XAI Industry Case Studies in XAI Glossary Audiences Case Studies Comparison Checklist Pause & Probe Blogger Series • Critical Thinking for Collaboration Healthcare AI: The Role of Explainability in Diagnostics XAI (Explainable Artificial Intelligence) refers to techniques that make AI models transparent , interpretable , and justifiable to humans. In healthcare, explainability is not a cosmetic add‑on. It is a clinical safety feature, an ethical commitment, and a legal anchor. When an algorithm influences a diagnosis, clinicians, patients, and regulators each need an explanation— but not the same one . In this article, we map the diagnostic AI landscape, distinguish the informational needs of different audiences, and walk through real‑world patterns for medical imaging , clinical decision sup...
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