Results 31 to 40 of about 4,274,299 (294)

Differentiating malignant and benign eyelid lesions using deep learning

Scientific Reports, 2023
Artificial intelligence as a screening tool for eyelid lesions will be helpful for early diagnosis of eyelid malignancies and proper decision-making. This study aimed to evaluate the performance of a deep learning model in differentiating eyelid lesions ...
Min Joung Lee, Min Kyu Yang, Sang In Khwarg, Eun Kyu Oh, Youn Joo Choi, Namju Kim, Hokyung Choung, Chang Won Seo, Yun Jong Ha, Min Ho Cho, Bum-Joo Cho   +10 more
doaj   +1 more source

Glaucoma Is Associated with the Risk of Obstructive Sleep Apnea: A Population-Based Nationwide Cohort Study

Diagnostics, 2022
The association between glaucoma and the risk of obstructive sleep apnea (OSA) has not been fully evaluated. Therefore, this study aimed to investigate the prospective association between glaucoma and OSA.
So Yeon Lee, Hyunjae Yu, Dong-Kyu Kim
doaj   +1 more source

Artificial Muscles and Soft Robotic Devices for Treatment of End‐Stage Heart Failure

Advances in Materials, 2022
Medical soft robotics constitutes a rapidly developing field in the treatment of cardiovascular diseases, with a promising future for millions of patients suffering from heart failure worldwide.
Alexander Weymann, J. Foroughi, R. Vardanyan, P. Punjabi, B. Schmack, Sinmisola Aloko, G. Spinks, Chun-Hui Wang, A. A. Rad, A. Ruhparwar   +9 more
semanticscholar   +1 more source

Artificial intelligence-assisted auscultation in detecting congenital heart disease

European Heart Journal - Digital Health, 2021
Aims Computer-assisted auscultation has become available to assist clinicians with physical examinations to detect congenital heart disease (CHD). However, its accuracy and effectiveness remain to be evaluated.
Jingjing Lv, Bin Dong, Hao Lei, Guocheng Shi, Han-song Wang, Fang Zhu, Chen Wen, Qian Zhang, Lijun Fu, Xiaorong Gu, Jiajun Yuan, Yongmei Guan, Yu-Jun Xia, Lie-bin Zhao, Huiwen Chen   +14 more
semanticscholar   +1 more source

Application of Artificial Intelligence-Based Auxiliary Diagnosis in Congenital Heart Disease Screening

Anatolian Journal of Cardiology, 2023
Background: To evaluate the application value of artificial intelligence-based auxiliary diagnosis for congenital heart disease. Methods: From May 2017 to December 2019, 1892 cases of congenital heart disease heart sounds were collected for learning ...
Hongbo Yang, Jiahua Pan, Weilian Wang, Tao Guo, Tengyuan Ma   +4 more
doaj   +1 more source

Artificial intelligence, fetal echocardiography, and congenital heart disease

Prenatal Diagnosis, 2021
There has been a recent explosion in the use of artificial intelligence (AI), which is now part of our everyday lives. Uptake in medicine has been more limited, although in several fields there have been encouraging results showing excellent performance ...
T. Day, Bernhard Kainz, J. Hajnal, R. Razavi, J. Simpson   +4 more
semanticscholar   +1 more source

A Novel 3D Visualized Operative Procedure in the Single-Stage Complete Repair With Unifocalization of Pulmonary Atresia With Ventricular Septal Defect and Major Aortopulmonary Collateral Arteries

Frontiers in Cardiovascular Medicine, 2022
ObjectivesPulmonary atresia with ventricular septal defect and major aortopulmonary collateral arteries (PA/VSD/MAPCAs) is a relatively rare, complex, and heterogeneous congenital heart disease.
Hailong Qiu, Hailong Qiu, Shusheng Wen, Shusheng Wen, Erchao Ji, Erchao Ji, Tianyu Chen, Tianyu Chen, Xiaobing Liu, Xiaobing Liu, Xiaohua Li, Xiaohua Li, Yun Teng, Yun Teng, Yong Zhang, Yong Zhang, Rong Liufu, Jiawei Zhang, Xiaowei Xu, Jimei Chen, Jimei Chen, Meiping Huang, Jianzheng Cen, Jianzheng Cen, Jian Zhuang, Jian Zhuang   +25 more
doaj   +1 more source

Natural Language Processing-Based Deep Learning to Predict the Loss of Consciousness Event Using Emergency Department Text Records

Applied Sciences
The increasing adoption of electronic medical records (EMRs) presents a unique opportunity to enhance trauma care through data-driven insights.
Hang A. Park, Inyeop Jeon, Seung-Ho Shin, Soo Young Seo, Jae Jun Lee, Chulho Kim, Ju Ok Park   +6 more
doaj   +1 more source

Performance reporting design in artificial intelligence studies using image-based TNM staging and prognostic parameters in rectal cancer: a systematic review [PDF]

Annals of Coloproctology
Purpose The integration of artificial intelligence (AI) and magnetic resonance imaging in rectal cancer has the potential to enhance diagnostic accuracy by identifying subtle patterns and aiding tumor delineation and lymph node assessment.
Minsung Kim, Taeyong Park, Bo Young Oh, Min Jeong Kim, Bum-Joo Cho, Il Tae Son   +5 more
doaj   +1 more source

Artificial Intelligence in Diagnosis of Heart Failure

Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease
Heart failure (HF) is a complex and varied condition that affects over 50 million people worldwide. Although there have been significant strides in understanding the underlying mechanisms of HF, several challenges persist, particularly in the accurate ...
Yuji Xie, Linyue Zhang, Wei Sun, Ye Zhu, Zisang Zhang, Leichong Chen, Mingxing Xie, Li Zhang   +7 more
semanticscholar   +1 more source