USG :: Ultrasonography

Progress in the Application of Artificial Intelligence in Ultrasound-Assisted Medical Diagnosis

Clinical application value of ultrasound artificial intelligence technology in the diagnosis of breast nodules

Yijuan Wu, Peiyu Huang, Weiping Guo, Ying Zhang, Xiaolan Xu, Shuang Ye, Chao Wu

Clinical Hemorheology and Microcirculation.2025; 89(4): 356. CrossRef

Diagnostic accuracy of B scan ultrasound for posterior segment ocular disorders: a meta-analysis

Fujin Wu, Qing Wang, Tongmei Zheng, Xiuchun Wang, Chaobin Lin

Documenta Ophthalmologica.2025; 150(2): 73. CrossRef

Shaping the future of men's sexual health: How artificial intelligence can assist in the management and treatment of erectile dysfunction

Artificial intelligence and point-of-care ultrasound: Benefits, limitations, and implications for the future

Fae Kayarian, Daven Patel, James R. O'Brien, Evelyn K. Schraft, Michael Gottlieb

The American Journal of Emergency Medicine.2024; 80: 119. CrossRef

Deep learning prediction of renal anomalies for prenatal ultrasound diagnosis

Olivier X. Miguel, Emily Kaczmarek, Inok Lee, Robin Ducharme, Alysha L. J. Dingwall-Harvey, Ruth Rennicks White, Brigitte Bonin, Richard I. Aviv, Steven Hawken, Christine M. Armour, Kevin Dick, Mark C. Walker

Ultrasound imaging based recognition of prenatal anomalies: a systematic clinical engineering review

Natarajan Sriraam, Babu Chinta, Seshadhri Suresh, Suresh Sudharshan

Progress in Biomedical Engineering.2024; 6(2): 023002. CrossRef

Artificial Intelligence in Obstetrics and Gynecology: Transforming Care and Outcomes

Dharmesh J Patel, Kamlesh Chaudhari, Neema Acharya, Deepti Shrivastava, Shaikh Muneeba

The use of artificial intelligence in musculoskeletal ultrasound: a systematic review of the literature

Jonas M. Getzmann, Giulia Zantonelli, Carmelo Messina, Domenico Albano, Francesca Serpi, Salvatore Gitto, Luca Maria Sconfienza

La radiologia medica.2024; 129(9): 1405. CrossRef

Applications of artificial intelligence in obstetrics

Convolutional neural network based on automatic segmentation of peritumoral shear-wave elastography images for predicting breast cancer

Li Xie, Zhen Liu, Chong Pei, Xiao Liu, Ya-yun Cui, Nian-an He, Lei Hu

Automated segmentation of standard scanning planes to measure biometric parameters in foetal ultrasound images – a survey

U. B. Balagalla, J.V.D. Jayasooriya, C. de Alwis, A. Subasinghe

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization.2023; 11(5): 1690. CrossRef

Improving the sensitivity of liver tumor classification in ultrasound images via a power-law shot noise model

Kenji Karako, Yuichiro Mihara, Kiyoshi Hasegawa, Yu Chen

Application of digital methods and artificial intelligence capabilities for diagnostics in obstetrics and gynecology

E.R. Safiullina, E.I. Rychkova, I.V. Мayorova, D.Kh. Khairutdinova, A.A. Slonskaya, A.S. Faronova, Y.A. Davydova, I.A. Mussova

Semi-supervised learning improves the performance of cardiac event detection in echocardiography

Constrained CycleGAN for effective generation of ultrasound sector images of improved spatial resolution

Physics in Medicine & Biology.2023; 68(12): 125007. CrossRef

Generalizability and Diagnostic Performance of AI Models for Thyroid US

WenWen Xu, XiaoHong Jia, ZiHan Mei, XiaoLin Gu, Yang Lu, Chi-Cheng Fu, RuiFang Zhang, Ying Gu, Xia Chen, XiaoMao Luo, Ning Li, BaoYan Bai, QiaoYing Li, JiPing Yan, Hong Zhai, Ling Guan, Bing Gong, KeYang Zhao, Qu Fang, Chuan He, WeiWei Zhan, Ting Luo, Hui

Deep Learning in the Diagnosis and Treatment of Liver Cancer: Review and Pro-spects

Advances in Clinical Medicine.2023; 13(09): 14103. CrossRef

Applications of artificial intelligence in musculoskeletal ultrasound: narrative review

Stefan Cristian Dinescu, Doru Stoica, Cristina Elena Bita, Andreea-Iulia Nicoara, Mihaela Cirstei, Maria-Alexandra Staiculesc, Florentin Vreju

The Transformative Role of Artificial Intelligence in Training Obstetrics and Gynecology Residents

Journal of Obstetric and Gynaecological Practices POGS.2023; 1(2): 61. CrossRef

Deep learning based on ultrasound images assists breast lesion diagnosis in China: a multicenter diagnostic study

Yang Gu, Wen Xu, Bin Lin, Xing An, Jiawei Tian, Haitao Ran, Weidong Ren, Cai Chang, Jianjun Yuan, Chunsong Kang, Youbin Deng, Hui Wang, Baoming Luo, Shenglan Guo, Qi Zhou, Ensheng Xue, Weiwei Zhan, Qing Zhou, Jie Li, Ping Zhou, Man Chen, Ying Gu, Wu Chen,

Ultrasonic S-Detect mode for the evaluation of thyroid nodules: A meta-analysis

Deep learning based on ultrasound to differentiate pathologically proven atypical and typical medullary thyroid carcinoma from follicular thyroid adenoma

Rui Zhang, Guanxiu Yi, Shunfan Pu, Qin Wang, Chao Sun, Qian Wang, Li Feng, Xiabi Liu, Zhengjiang Li, Lijuan Niu

European Journal of Radiology.2022; 156: 110547. CrossRef

Artificial Intelligence (AI) in Breast Imaging: A Scientometric Umbrella Review

Xiao Jian Tan, Wai Loon Cheor, Li Li Lim, Khairul Shakir Ab Rahman, Ikmal Hisyam Bakrin

Generalizability and Diagnostic Efficacy of AI Models for Thyroid Ultrasound

WenWen Xu, ZiHan Mei, XiaoLin Gu, Yang Lu, Chi-Cheng Fu, Ruifang Zhang, Ying Gu, Xia Chen, XiaoMao Luo, Ning Li, BaoYan Bai, QiaoYing Li, JiPing Yan, Hong Zhai, Ling Guan, Bing Gong, KeYang Zhao, Qu Fang, Chuan He, WeiWei Zhan, Ting Luo, HuiTing Zhang, Yi

Artificial intelligence for ultrasonography: unique opportunities and challenges

Basic principles and new advances in kidney imaging

Kidney International.2021; 100(5): 1001. CrossRef

Artificial intelligence‐enhanced echocardiography in the emergency department

Jonathon E Stewart, Adrian Goudie, Ashes Mukherjee, Girish Dwivedi

Emergency Medicine Australasia.2021; 33(6): 1117. CrossRef

Automatic Liver Segmentation in CT Images with Enhanced GAN and Mask Region‐Based CNN Architectures

Xiaoqin Wei, Xiaowen Chen, Ce Lai, Yuanzhong Zhu, Hanfeng Yang, Yong Du, Marco Aiello

BioMed Research International.2021;[Epub] CrossRef