AI algorithm accurately detects early-stage metabolic-associated steatotic liver disease

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AI algorithm accurately detects early-stage metabolic-associated steatotic liver disease
Liver DiseaseArtificial IntelligenceHepatology
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Liver disease, which is treatable when discovered early, often goes undetected until late stages, but a new study revealed that an algorithm fueled by artificial intelligence can accurately detect early-stage metabolic-associated steatotic liver disease (MASLD) by using electronic health records.

American Association for the Study of Liver Disease sNov 18 2024 Liver disease, which is treatable when discovered early, often goes undetected until late stages, but a new study revealed that an algorithm fueled by artificial intelligence can accurately detect early-stage metabolic-associated steatotic liver disease by using electronic health records. The study was scheduled for presentation today at The Liver Meeting, hosted by the American Association for the Study of Liver Disease s.

Ariana Stuart MD, resident at University of Washington Internal Medicine Residency Program and lead author of the study "People should not interpret our findings as a lack of primary care training or management," Stuart said. "Instead, our study shows how AI can complement physician workflow to address the limitations of traditional clinical practice."

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