Diagnostic performance of artificial intelligence-based computer-aided detection and diagnosis in pediatric radiology: A systematic review
CKC Ng - Children, 2023 - mdpi.com
Artificial intelligence (AI)-based computer-aided detection and diagnosis (CAD) is an
important research area in radiology. However, only two narrative reviews about general …
important research area in radiology. However, only two narrative reviews about general …
Hyperspectral imaging coupled with Dual-channel convolutional neural network for early detection of apple valsa canker
R Cui, JM Li, Y Wang, S Fang, K Yu, Y Zhao - Computers and Electronics in …, 2022 - Elsevier
Assessing the status of apple tree for orchard precision management is critical. However,
apple valsa canker severely restricts apple production and quality in China, especially …
apple valsa canker severely restricts apple production and quality in China, especially …
Machine learning and artificial intelligence within pediatric autoimmune diseases: applications, challenges, future perspective
ABSTRACT Introduction Autoimmune disorders affect 4.5% to 9.4% of children, significantly
reducing their quality of life. The diagnosis and prognosis of autoimmune diseases are …
reducing their quality of life. The diagnosis and prognosis of autoimmune diseases are …
Improvements in Diagnosing Kawasaki Disease Using Machine Learning Algorithms
S Degadwala… - 2024 4th …, 2024 - ieeexplore.ieee.org
This research explores the changing landscape of Kawasaki Disease (KD) diagnosis,
specifically examining the Machine Learning (ML) algorithms to enhance diagnostic …
specifically examining the Machine Learning (ML) algorithms to enhance diagnostic …
Progression prediction of coronary artery lesions by echocardiography-based ultrasomics analysis in Kawasaki disease
D Xu, CH Feng, AM Cao, S Yang, ZC Tang… - Italian Journal of …, 2024 - Springer
Background Echocardiography-based ultrasomics analysis aids Kawasaki disease (KD)
diagnosis but its role in predicting coronary artery lesions (CALs) progression remains …
diagnosis but its role in predicting coronary artery lesions (CALs) progression remains …
[HTML][HTML] Intelligent diagnosis of Kawasaki disease from real-world data using interpretable machine learning models
Y Duan, R Wang, Z Huang, H Chen, M Tang… - Hellenic Journal of …, 2024 - Elsevier
Objective This study aimed to leverage real-world electronic medical record data to develop
interpretable machine learning models for diagnosis of Kawasaki disease while also …
interpretable machine learning models for diagnosis of Kawasaki disease while also …
DLFFNet: A new dynamical local feature fusion network for automatic aortic valve calcification recognition using echocardiography
L Tang, X Wang, J Yang, Y Wang, M Qu… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objective Aortic valve calcification (AVC) is a strong predictor of
adverse cardiovascular events and is correlated with the degree of coronary artery stenosis …
adverse cardiovascular events and is correlated with the degree of coronary artery stenosis …
Explainable neural networks in diabetes mellitus prediction
Artificial Intelligence (AI) has been widely applied in healthcare for several purposes,
especially in disease prediction enabling physicians to more accurately diagnose patients' …
especially in disease prediction enabling physicians to more accurately diagnose patients' …
Real-time and accurate estimation of surgical hemoglobin loss using deep learning-based medical sponges image analysis
K Li, Z Cheng, J Zeng, Y Shu, X He, H Peng… - Scientific Reports, 2023 - nature.com
Real-time and accurate estimation of surgical hemoglobin (Hb) loss is essential for fluid
resuscitation management and evaluation of surgical techniques. In this study, we aimed to …
resuscitation management and evaluation of surgical techniques. In this study, we aimed to …
Application of artificial intelligence in the diagnosis and treatment of Kawasaki disease
Y Pan, FY Jiao - World Journal of Clinical Cases, 2024 - pmc.ncbi.nlm.nih.gov
This editorial provides commentary on an article titled" Potential and limitations of ChatGPT
and generative artificial intelligence (AI) in medical safety education" recently published in …
and generative artificial intelligence (AI) in medical safety education" recently published in …