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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82529, first published .
Smartphone app predicting liver health with 80% score.

Hepatic Steatosis Severity Prediction in Nonobese Individuals: Machine Learning Model Development and Validation

Hepatic Steatosis Severity Prediction in Nonobese Individuals: Machine Learning Model Development and Validation

Yitong Zhu   1, 2, 3 * , PhD ;   Yongshuai Wang   1, 2, 3 * , PhD ;   Shenyu Zhang   1, 2, 3 , PhD ;   Jian Yang   4 , PhD ;   Feng Zhang   1, 2, 3 , PhD ;   Yan Liu   4 , PhD ;   Jun Shang   5 , MSc ;   Yongliang Zhang   4 * , PhD ;   Jizhou Wang   1, 2, 3 * , PhD ;   Lianxin Liu   1, 2, 3 * , PhD

1 Department of Hepatobiliary Surgery, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China

2 Anhui Province Key Laboratory of Hepatopancreatobiliary Surgery, Hefei, Anhui, China

3 Anhui Provincial Clinical Research Center for Hepatobiliary Diseases, Hefei, Anhui, China

4 Department of Health Management Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China

5 Department of Nephrology, The Second Hospital of Anhui Medical University, Hefei, Anhui, China

*these authors contributed equally

Corresponding Author:

  • Lianxin Liu, PhD
  • Department of Hepatobiliary Surgery
  • Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China
  • No.96 Jinzhai Road
  • Hefei, Anhui 230001
  • China
  • Phone: 86 13845159888
  • Email: liulx@ustc.edu.cn