More and more American healthcare systems are implementing so-called “free” AI pilot programs. In theory, they are meant to improve efficiency — in practice, they often result in multimillion-dollar expenses and end in failure. Experts warn that without proper planning, reliable data, and accountability, even the most advanced algorithms bring little real-world value — and, above all, are not cost-effective. U.S. hospitals are increasingly accepting offers for pilot deployments of generative AI systems that analyze medical data, support documentation, or assist in diagnosis. Tech companies promoting these pilots advertise them as free, but the hidden costs — in resources, integration,…

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