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Using AI to solve one of healthcare’s most enduring problems



Delayed and missed follow-up on incidental diagnostic imaging findings is one of the most prolific problems in healthcare, harming millions of patients across the country and driving up costs. In the USA, hospitals and health systems spend an estimated $43 million annually to settle lawsuits for missed follow-up on lung findings alone.

“This problem is a case study of preventable harm: there is a documented, but unrecognized finding that could have led to a meaningful intervention, but instead the patient’s disease develops unchecked,” says Mozziyar Etemadi, medical director of advanced…


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Radiology AI
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