Ultrasound-based Artificial Intelligence in Gastroenterology and Hepatology

Overview

Journal World J Gastroenterol

Publisher Baishideng Publishing Group

Specialty Gastroenterology

Date 2022 Oct 28

PMID 36304086

Authors

Ji-Qiao Liu

Jia-Yu Ren

Xiao-Lan Xu

Li-Yan Xiong

Yue-Xiang Peng

Xiao-Fang Pan

Christoph F Dietrich

Xin-Wu Cui

Affiliations

Soon will be listed here.

Abstract

Artificial intelligence (AI), especially deep learning, is gaining extensive attention for its excellent performance in medical image analysis. It can automatically make a quantitative assessment of complex medical images and help doctors to make more accurate diagnoses. In recent years, AI based on ultrasound has been shown to be very helpful in diffuse liver diseases and focal liver lesions, such as analyzing the severity of nonalcoholic fatty liver and the stage of liver fibrosis, identifying benign and malignant liver lesions, predicting the microvascular invasion of hepatocellular carcinoma, curative transarterial chemoembolization effect, and prognoses after thermal ablation. Moreover, AI based on endoscopic ultrasonography has been applied in some gastrointestinal diseases, such as distinguishing gastric mesenchymal tumors, detection of pancreatic cancer and intraductal papillary mucinous neoplasms, and predicting the preoperative tumor deposits in rectal cancer. This review focused on the basic technical knowledge about AI and the clinical application of AI in ultrasound of liver and gastroenterology diseases. Lastly, we discuss the challenges and future perspectives of AI.

Citing Articles

Artificial Intelligence in Liver Diseases: Recent Advances.

Lu F, Meng Y, Song X, Li X, Liu Z, Gu C Adv Ther. 2024; 41(3):967-990.

PMID: 38286960 DOI: 10.1007/s12325-024-02781-5.

Diagnostic Performance of an Artificial Intelligence Model Based on Contrast-Enhanced Ultrasound in Patients with Liver Lesions: A Comparative Study with Clinicians.

Urhut M, Sandulescu L, Streba C, Mamuleanu M, Ciocalteu A, Cazacu S Diagnostics (Basel). 2023; 13(21).

PMID: 37958282 PMC: 10650544. DOI: 10.3390/diagnostics13213387.

Preoperative and Prognostic Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Review Based on Artificial Intelligence.

Jiang Y, Wang K, Wang Y, Xiang Y, Liu Z, Feng J Technol Cancer Res Treat. 2023; 22:15330338231212726.

PMID: 37933176 PMC: 10631353. DOI: 10.1177/15330338231212726.

Artificial Intelligence-The Rising Star in the Field of Gastroenterology and Hepatology.

Stan-Ilie M, Sandru V, Constantinescu G, Plotogea O, Rinja E, Tincu I Diagnostics (Basel). 2023; 13(4).

PMID: 36832150 PMC: 9955763. DOI: 10.3390/diagnostics13040662.

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