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 [DOI: 10.35712/aig.v3.i4.105]
Corresponding Author of This Article
Masaya Tamano, PhD, Professor, Department of Gastroenterology, Dokkyo Medical University Saitama Medical Center, 2-1-50 Minami-Koshigaya, Koshigaya 343-8555, Saitama, Japan. mstamano@dokkyomed.ac.jp
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Prospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Artif Intell Gastroenterol. Oct 28, 2022; 3(4): 105-116 Published online Oct 28, 2022. doi: 10.35712/aig.v3.i4.105
Table 1 Patients' characteristics (n = 29)
Male/Female
16/13
Age (yr)
56.4 ± 14.3
Body weight (kg)
74.1 ± 13.1
BMI (kg/m2)
28.4 ± 5.2
Metabolic diseases
Diabetes mellitus (Yes/No)
10/19
Dyslipidemia (Yes/No)
14/15
Concomitant drugs
SGLT2 inhibitor
2
DPP-4 inhibitor
3
Thiazolidinedione
GLP-1 agonist
1
Statin
7
Bezafibrate
Pemafibrate
EPA and DHA preparation
1
AST (U/L)
50.2 ± 33.4
ALT (U/L)
53.8 ± 39.0
GGT (U/L)
80.3 ± 84.3
T-B (mg/dL)
1.3 ± 0.9
Alb (mg/dL)
4.2 ± 0.6
eGFR (mL/min)
71.1 ± 11.5
HbA1c (%)
6.4 ± 0.8
T-cho (mg/dL)
191.3 ± 35.0
TG (mg/dL)
126.5 ± 57.8
WBC (103/μL)
5.6 ± 1.5
Hb (g/dL)
14.5 ± 1.7
Plts (104/μL)
17.7 ± 7.4
Table 2 Changes of blood biochemistry parameters and body weight
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
Table 3 Number of photographed food items, analysis rate, and time for confirmation
Case
All foods
No of candidates
Analysis rate (%)
Time for confirmation (min)
1
57
13
77.2
25.0
2
31
2
93.5
4.5
3
90
31
65.6
67.0
4
40
7
82.5
20.5
5
74
20
73.0
31.0
6
69
1
98.6
6.0
7
24
3
87.5
9.5
8
20
9
55.0
12.0
9
47
9
80.9
28.5
10
87
29
66.7
35.5
11
26
12
53.8
14.0
12
35
8
77.1
10.0
13
85
25
70.6
36.5
14
95
8
91.6
8.5
15
53
15
71.7
20.0
16
84
32
61.9
39.5
17
77
13
83.1
14.0
18
51
7
86.3
13.0
19
33
16
51.5
20.0
20
103
9
91.3
19.5
21
32
6
81.3
5.5
22
68
25
63.2
32.5
23
88
30
65.9
50.0
24
41
18
56.1
66.0
25
74
22
70.3
36.0
26
104
16
84.6
34.0
27
84
22
73.8
47.5
28
83
13
84.3
25.5
29
61
13
78.7
20.5
Average
62.6
15.0
75.1
25.9
Table 4 Questionnaire results
Question
Yes
No
1
29
0
2
15
14
3
29
0
4
25
29
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