Testing AI Where It Will Be Used

Rather than relying solely on benchmarks or simulation environments, the demonstration program attaches medical AI directly to hospital information systems. The approach is intended to measure how algorithms behave under real-world clinical conditions — interoperating with hospital workflows, electronic records and day-to-day care processes that laboratory tests cannot fully reproduce.

22 Projects in the Field

A total of 22 tasks have been selected for real-system validation. Each project deploys its medical AI solution in an operating hospital environment, allowing developers and medical staff to observe actual performance, identify integration issues and refine the technology before broader adoption.

Significance for the Medical AI Sector

Field-based demonstration is seen as a key step for medical AI, where regulatory approval and clinical trust depend heavily on evidence gathered in genuine care settings. Success in live hospital systems can accelerate commercialization and give clinicians concrete grounds for adopting AI-assisted diagnosis and treatment tools.

The claim that medical AI is being validated by attaching it to real hospital systems, with 22 demonstration projects, is true.