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©The Author(s) 2022.
Artif Intell Gastroenterol. Oct 28, 2022; 3(4): 105-116
Published online Oct 28, 2022. doi: 10.35712/aig.v3.i4.105
Published online Oct 28, 2022. doi: 10.35712/aig.v3.i4.105
Baseline | 6M Follow-up | P value | |
AST (U/L) | 50.2 ± 33.4 | 34.7 ± 14.7 | 0.0088 |
ALT (U/L) | 53.8 ± 39.0 | 35.3 ± 16.8 | 0.0113 |
GGT (U/L) | 80.3 ± 84.3 | 66.3 ± 82.9 | 0.0494 |
HbA1c (%) | 6.4 ± 0.8 | 6.2 ± 0.6 | 0.27832 |
T-cho (mg/dL) | 191.3 ± 35.0 | 189 ± 34.3 | 0.2109 |
TG (mg/dL) | 126.5 ± 57.8 | 104.1 ± 60.6 | 0.0426 |
Body weight (kg) | 74.0 ± 13.1 | 71.2 ± 12.3 | 0.0472 |
- Citation: Kusano Y, Funada K, Yamaguchi M, Sugawara M, Tamano M. Dietary counseling based on artificial intelligence for patients with nonalcoholic fatty liver disease. Artif Intell Gastroenterol 2022; 3(4): 105-116
- URL: https://www.wjgnet.com/2644-3236/full/v3/i4/105.htm
- DOI: https://dx.doi.org/10.35712/aig.v3.i4.105