Published 2 years ago

Approach to Demystify Black Box AI Not Ready for Prime Time

Summary by Ground News

Artificial intelligence models that interpret medical images hold the promise to enhance clinicians' ability to make accurate and timely diagnoses. But AI models that lack transparency about how and why a diagnosis is made can be problematic. This opaque reasoning can diminish clinician trust in the reliability of the AI tool and thus discourage its use. Heat maps work by highlighting areas on an image that influenced the AI model's interpretation.

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Science Daily

Common approach to demystify black box AI not ready for prime time

Clinical AI tools hold the promise to transform the practice of medicine, but lack of transparency in some tools is an ongoing challenge. One way to demystify black-box AI reasoning is the use of heat maps that 'explain' how an AI tool made a diagnosis based on a specific clinical image. A new study suggests that heat maps underperform human clinicians, are not ready for prime time and should be refined before wider adoption in clinical practice.

2 years ago·United States

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Newswise

Common Approach to Demystify Black Box AI Not Ready for Prime Time, Study Finds

Clinical AI tools hold the promise to transform the practice of medicine, but lack of transparency in some tools is an ongoing challenge.

2 years ago·Charlottesville, United States

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TechXplore

Common approach to demystify black box AI not ready for prime time

Artificial intelligence models that interpret medical images hold the promise to enhance clinicians' ability to make accurate and timely diagnoses, while also lessening workload by allowing busy physicians to focus on critical ...

2 years ago

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Harvard University

Approach to Demystify Black Box AI Not Ready for Prime Time

Artificial intelligence models that interpret medical images hold the promise to enhance clinicians’ ability to make accurate and timely diagnoses, while also lessening workload by allowing busy physicians to focus on critical cases and delegate rote tasks to AI.

2 years ago·Harvard, United States

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