Machine learning outperforms noninvasive tests in NAFLD

Machine learning may be a reasonable solution for screening for fatty liver in the general population in areas where more niche noninvasive tests are unavailable, according to a presenter at the Digital International Liver Congress.“Risk stratification is key to reducing unnecessary testing in liver disease screening. While transient elastography [TE] could be considered the noninvasive gold standard for liver fibrosis diagnosis before biopsy, evidence regarding which features or scoring systems … help to discriminate at-risk patients in the general population is built uponRead More

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