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Copyright ©The Author(s) 2022.
World J Gastroenterol. May 28, 2022; 28(20): 2152-2162
Published online May 28, 2022. doi: 10.3748/wjg.v28.i20.2152
Table 1 Recent researches on artificial intelligence in malignant digestive system diseases
Ref.
Study design
Study population
Year
Disease
Country/Region
Number of cases
Methods
Results
Tang et al[48]RetrospectiveHospital2020GCChina45240 ImagesDCNNAccuracy: 85.1%-91.2%; Sensitivity: 85.9%-95.5%; Specificity: 81.7%-90.3%; AUC: 0.887-0.940
Zhang et al[49]RetrospectiveHospital2020GCChina21,217 ImagesCNNAccuracy: 78.7%
Nagao et al[50]RetrospectiveHospital2020GCJapan16557 imagesCNNAccuracy: WLI (94.5%); Accuracy: NBI (94.3%); Accuracy: Indigo (95.5%)
Song et al[51]RetrospectiveHospital2020GCChina3212 ImagesDLAccuracy: 0.873; Sensitivity: 0.996; Specificity: 0.843; AUC: 0.986
Ma et al[52]RetrospectiveHospital2020GCChina763 ImagesCNNAccuracy: 98.4%; Specificity: 98.9%; Sensitivity: 98.0%;
Zhen et al[17]RetrospectiveHospital2020LCChina31608 ImagesCNNAUC: 0.946
Giordano et al[53]RetrospectiveHospital2020LCItaly167 CasesSVM, RFAccuracy: Exceeded 94%
Jeong et al[54] RetrospectiveCancer Institute2020LCChina1421 CasesDLAUC: 0.84
Appelbaum et al[31]RetrospectiveHospital2020PDACAmerica594 CasesLRAUC: 0.71
Marya et al[44]RetrospectiveHospital2020PDACAmerica1174461 EUS ImagesEUS-CNNSensitivity: 99%; Specificity: 98%
Tonozuka et al[55]RetrospectiveHospital2020PDACJapan920 CasesEUS-CADAUC: 0.94
Table 2 Recent researches on artificial intelligence in benign digestive system diseases
Ref.
Study design
Study population
Year
Disease
Country/Region
Number of cases
Methods
Results
Maeda et al[35]RetrospectiveHospital2019UCJapan12900 ImagesCADSensitivity: 74%; Specificity: 97%; Accuracy: 91%
Popa et al[56]RetrospectiveHospital2020UCRomania55 CasesMLAccuracy: 90%; AUC: 0.92
Tong et al[57]RetrospectiveHospital2020UCChina6399 CasesRF, CNNSensitivity: RF (0.89); Sensitivity: CNN (0.90)
Qiu et al[38]RetrospectiveHospital2019SAP China 263 CasesANNSensitivity: 80.99%; Specificity: 89.44%
Chen et al[42]RetrospectiveHospital2019SAP China 389 CasesLR Accuracy: 87.1%
Namikawa et al[45]RetrospectiveHospital2020Gastric ulcerJapan720 ImagesA-CNN Sensitivity: 93.3%; Specificity: 99.0%; PPV: 99.1%
Steinbuss et al[46]RetrospectiveHospital2020GastritisGermany1230 ImagesCNN Accuracy: 84%; Sensitivity: 100%; Specificity: 93%
Ozawa et al[47]RetrospectiveHospital2020Colorectal polypsJapan16418 ImagesCNNSensitivity: 92%; PPV: 86%