AI Systems Show Promise for Improving Medical Imaging and Diagnosis, But Face Hurdles Before Widespread Adoption
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AI systems like Mia are already improving cancer diagnosis by spotting subtle abnormalities in mammograms that human doctors can miss. This promises better outcomes through earlier treatment.
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AI is being applied across medical imaging, from analyzing X-rays and CT scans to reduce time-to-diagnosis, to portable ultrasound devices that can assess high-risk pregnancies in remote areas.
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Systems trained on vastly more data than any human could process in a lifetime promise unmatched expertise. But more rigorous testing is still needed to ensure safety and avoid false positives.
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Powerful new foundation models could analyze diverse datasets from images to genetic data to electronic records, predicting future disease risks early on. But care is needed to prevent bias.
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Cutting-edge systems like Moorfields Eye Hospital's RETFound match experts in spotting eye diseases and even predict conditions like Parkinson's. But most hospitals worldwide are yet to benefit from the latest AI.