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Current Status, Prospect and Bottleneck of Ultrasound AI Development: A Systemic Review

Siyi Xun, MA, Wei Ke, PhD, Mingfu Jiang, MA, Huachao Chen, BA, Haoming Chen, BA, Chantong Lam, PhD, Ligang Cui, MD, Tao Tan, PhD

2023, 7 (2): 61-72.DOI:10.37015/AUDT.2023.230020

Intelligent Ultrasonic Diagnosis and Clinical Application: Technical Development and Prospectives

Rendong Chen, PhD, Xiaoqian Wang, BS, Ping Liang, MD, Xiaoping Ouyang, PhD, Dexing Kong, PhD

2023, 7 (2): 73-81.DOI:10.37015/AUDT.2023.230019

Artificial Intelligence in Prenatal Ultrasound: Clinical Application and Prospect

Wenjia Guo, MM, Shengli Li, MM, Xing Yu, MD, Huaxuan Wen, BM, Ying Yuan, MM, Xia Yang, MM

2023, 7 (2): 82-90.DOI:10.37015/AUDT.2023.230024

Deep Learning on Ultrasound Imaging for Breast Cancer Diagnosis and Treatment: Current Applications and Future Perspectives

Changyan Wang, BS, Haobo Chen, MS, Jieyi Liu, BS, Changchun Li, BS, Weiwei Jiao, BS, Qihui Guo, BS, Qi Zhang, PhD

2023, 7 (2): 91-113.DOI:10.37015/AUDT.2023.230012

Advanced Application of Artificial Intelligence for Pelvic Floor Ultrasound in Diagnosis and Treatment

Enze Qu, MD, Xinling Zhang, MD

2023, 7 (2): 114-121.DOI:10.37015/AUDT.2023.230021

Advances in the Research of Ultrasound and Artificial Intelligence in Neuromuscular Disease

Tianxiang Li, BS, Fei Ji, BS, Ruina Zhao, MD, Huazhen Liu, MD, Meng Yang, MD

2023, 7 (2): 122-129.DOI:10.37015/AUDT.2023.230025

Application and Prospect of AI and ABVS-based in Breast Ultrasound Diagnosis

Rui Chen, MM, Fangqi Guo, MM, Jia Guo, MD, Jiaqi Zhao, MD

2023, 7 (2): 130-135.DOI:10.37015/AUDT.2023.230017

Ultrasound Image Generation and Modality Conversion Based on Deep Learning

Shujun Xia, MD, Jianqiao Zhou, MD

2023, 7 (2): 136-139.DOI:10.37015/AUDT.2023.230011

Advances in Intelligent Segmentation and 3D/4D Reconstruction of Carotid Ultrasound Imaging

Cancan Cui, MD, Zhaojun Li, PhD, Yanping Lin, PhD

2023, 7 (2): 140-151.DOI:10.37015/AUDT.2023.230015

Rapid Screening of Carotid Plaque in Cloud Handheld Ultrasound System Based on 5G and AI Technology

Wenjun Zhang, MD, Mi Zhou, PhD, Qingguo Meng, MD, Lin Zhang, MS, Xin Liu, MS, Paul Liu, PhD, Dong Liu, PhD

2023, 7 (2): 152-157.DOI:10.37015/AUDT.2023.230018

Tairui Zhang, BS, Linxue Qian, MD

2023, 7 (2): 158-171.DOI:10.37015/AUDT.2023.230028

Domestic Large Model Technology and Medical Applications Analysis

Chengwen Zhang, PhD, Xing Yu, MD

2023, 7 (2): 172-187.DOI:10.37015/AUDT.2023.230027

AI-based ChatGPT Impact on Medical Writing and Publication

Mofan Li, Yongyue Zhang, MM, Yang Sun, MM, Ligang Cui, PhD, Shumin Wang, PhD

2023, 7 (2): 188-192.DOI:10.37015/AUDT.2023.230013

Application of the Virtual Reality in the Teaching of Ultrasonography

Zheng Zhang, MS, Li Liu, MD, Desheng Sun, MD, Dirong Zhang, MD, Fengbei Kong, MS, Yalin Wu, PhD, Yu Shi, MD

2023, 7 (2): 193-196.DOI:10.37015/AUDT.2023.230026

Development of 5G-based Remote Ultrasound Education: Current Status and Future Trends

Jiaojiao Ma, MD, Xinying Jia, MD, Guanghan Li, MD, Dandan Guo, MD, Xuehua Xi, MD, Tongtong Zhou, MD, Ji-Bin Liu, MD, Bo Zhang, MD

2023, 7 (2): 197-203.DOI:10.37015/AUDT.2023.230022

                    
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甲状舌管囊肿乳头状癌

AUDT

甲状舌管囊肿（Thyroglossal Duct Cyst）起源于甲状舌管的残余组织，主要见于儿童或青少年，约7%的成年人中可发现。大多数甲状舌管囊肿是良性的，恶性病例占比不到1%，其中最常见的组织病理学类型为乳头状癌。

超声及CT诊断门静脉左支横部缺如1例

AUDT

门静脉是肝脏分段的重要标志，门静脉左支（left portal vein, LPV）变异少见，在超声检查中漏检经常源于对肝脏及门静脉解剖结构的超声表现不够熟悉。通过仔细观察胆囊、肝裂以及门静脉走行的解剖关系，可以诊断与鉴别许多解剖变异。

关于诊断多发胆管错构瘤的有效方法

AUDT

胆管错构瘤（bile duct hamartomas, BDHs）是罕见的先天性胆管畸形，其常规超声成像缺乏特异性，导致许多医生对该病认识不足，漏诊率和误诊率较高。BDHs的诊断重点在于将其与多囊肝、肝硬化、弥漫性肝实质疾病和肝转移瘤等疾病的鉴别。目前，尚无BDHs的超声诊断共识。

Klippel-Trenaunay综合征的产前超声诊断

AUDT

先天性静脉畸形骨肥大综合征（Klippel-Trenaunay syndrome，KTS）是一种罕见的先天性疾病，包括皮肤血管瘤、淋巴管或静脉畸形以及不对称的肢体肥大，若出现上述两种及以上外观和影像学表现，即可考虑诊断为KTS。文献报道的散发KTS发病率为1/10万 ~ 1/3万，高危家族中一级和二级成员发病率约为1/880。

通过动态增强CT生物标志物评价肾上腺腺瘤与非腺瘤的特征

AUDT

肾上腺肿块的发生较隐匿，多偶然经常规腹部CT扫查检出，其中腺瘤与非腺瘤的鉴别诊断尤其困难。既往报道显示动态增强CT（dynamic contrast enhanced computed tomography, DCE-CT）扫描中，肾上腺腺瘤比非腺瘤的对比剂廓清更加明显。本研究旨在探讨肾上腺腺瘤和非腺瘤的DCE-CT影像特征与肿瘤血管生成的组织学生物标志物之间的相关性，并阐明增强显像机制。

基于相对比和百分位数标准下股骨短小胎儿的病因及预后研究

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胎儿股骨长（fetal femur length）偏短可能与胎儿生长受限（fetal growth restriction, FGR）、骨骼发育不良、染色体及基因异常等有关，即病理性胎儿股骨短小，但也可能是胎龄不准确、胎儿生长发育正常变异等情况。因而，胎儿股骨短小的临床意义令人头疼。以往的胎儿股骨长度处于相应胎龄的百分位数、双顶径/股骨长度（BPD/FL）及股骨长度/腹围（FL/AC）等指标仅用于胎儿股骨短小的超声诊断，并未关注其在提示临床病因中的价值。本研究分析胎儿股骨长度处于相应胎龄的百分位数及股骨与其他生长指标的相对比值，评估不同严重程度的胎儿股骨短小的病因及胎儿预后。