In this episode of Radiology Rewired, Dr. Vivek Singh sits down with Dr. Samir Kumar, chief medical officer and former nephrologist, to explore why clinical AI succeeds in some health systems and fails to deliver value in others.

The conversation takes a system-level view of AI adoption, examining how leadership alignment, cross-specialty integration, and measurable return on investment determine whether AI meaningfully improves care or quietly stalls. Dr. Kumar shares the administrative perspective on evaluating clinical AI tools, including why many solutions demonstrate efficiency gains but never translate into sustained impact.

They also discuss how poorly integrated AI can increase cognitive burden for clinicians, while thoughtfully implemented systems can reduce mental strain, support earlier decision-making, and improve coordination across care teams without undermining clinical judgment.

This episode offers practical insight for physicians, health system leaders, and anyone involved in healthcare AI adoption.

Chapters:
00:00 — Introduction: why clinical AI adoption often stalls
01:15 — Efficiency vs. value in healthcare AI
02:45 — How health systems evaluate AI ROI
04:20 — The role of leadership and governance in AI adoption
06:10 — Why cross-specialty integration matters
08:05 — Stroke care as a model for AI-enabled coordination
10:10 — Clinical decision support and predictive AI models
12:30 — Reducing cognitive burden for clinicians
14:20 — What successful clinical AI looks like at scale

Watch on YouTube!