Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review

If physicians are to use Artificial Intelligence (AI) in patient care, they need to understand the strengths and weaknesses of the technology. Clinicians need AI that is accurate and generalizable. While AI systems have been shown to be accurate primarily in retrospective research, the latter remains a challenge when implementing AI prospectively in the real-world, particularly across multiple institutions.

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