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Why AI in Healthcare Is Failing—And What the Best Leaders Are Doing Differently


Despite the hype, 80% of AI projects in healthcare are falling short—twice the failure rate of other tech initiatives. But a select group of organizations is bucking the trend. This article dives into what sets them apart: from reverse mentoring and AI-savvy leadership to emerging roles like the Chief AI Officer and a radical shift in how success is measured. Discover why trust, governance, and hands-on experimentation are becoming non-negotiables—and why most hospitals are still dangerously behind.


Read more to uncover the leadership strategies driving real ROI and better patient outcomes.

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