AI in Healthcare Products: What the Hype Misses
Healthcare AI doesn’t fail because of weak algorithms but due to product engineering gaps. Real success depends on data architecture, workflow integration, validation, explainability, and continuous monitoring. Discover the engineering realities that determine whether AI products deliver clinical value or become costly failures.