Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China.
Department of Ultrasound, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan 430030, Hubei Province, China.
World J Gastroenterol. 2022 Oct 14;28(38):5530-5546. doi: 10.3748/wjg.v28.i38.5530.
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.
人工智能（AI），尤其是深度学习，在医学图像分析方面表现出色，受到广泛关注。它可以自动对复杂的医学图像进行定量评估，帮助医生做出更准确的诊断。近年来，基于超声的人工智能在弥漫性肝病和局灶性肝病变中显示出非常有帮助，例如分析非酒精性脂肪性肝病的严重程度和肝纤维化的阶段，识别良性和恶性肝病变，预测肝细胞癌的微血管侵犯，经动脉化疗栓塞的疗效，以及热消融后的预后。此外，基于内镜超声的人工智能已应用于一些胃肠道疾病，如区分胃间质瘤、检测胰腺癌和胰管内乳头状黏液性肿瘤，以及预测直肠癌的术前肿瘤沉积。本综述重点介绍了 AI 的基本技术知识以及 AI 在肝脏和胃肠病学超声中的临床应用。最后，我们讨论了 AI 的挑战和未来展望。
