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AI-enabled diagnostic decision support systems (DDSS) could improve diagnostic accuracy and efficiency, yet adoption is often impeded by pricing approaches that rely on opaque technical usage metrics.
Healthcare decision-makers prefer transparent and predictable pricing models for diagnostic AI, often combining a fixed base fee with usage- or outcome-based components to align cost with clinical value.
Continue reading at nature.com
Effective regulatory oversight is a key step in ensuring that artificial intelligence as a medical device (AIaMD) is safe in real-world clinical settings. In this Perspective, we provide insights from …
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