STAT+: 4 steps for AI developers to build trust in their clinical tools

As health systems deploy new tools that predict patients’ risk of serious medical outcomes, many appear to be sidestepping the more delicate task of ensuring that health workers trust those systems.

The conversation is changing, however, as real-world examples of the tools’ unintended consequences emerge and as health workers increasingly express a desire for more information about the tools they’re tasked with using.

Continue to STAT+ to read the full story…

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