AIMC Topic: Deep Learning
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Integrating physiological signals for enhanced sleep apnea diagnosis with SleepNet.
Scientific reports
Aug 28, 2025
Sleep apnea, a prevalent respiratory disorder, poses significant health risks, including cardiovascular complications and behavioral issues, if left untreated. Traditional diagnostic methods like polysomnography, although effective, are often expensi...
Foundation models in ophthalmology: a preliminary study on AI-assisted diagnosis of myopic maculopathy and posterior staphyloma using ultra-widefield fundus images.
BMJ open ophthalmology
Aug 28, 2025
OBJECTIVES: This study aims to detect characteristic fundus changes in pathological myopia using deep learning (DL)-based analysis of ultra-widefield (UWF) fundus imaging.
Explainable deep learning algorithm for distinguishing IVIG-Resistant Kawasaki disease in Shandong peninsula, China.
BMC pediatrics
Aug 28, 2025
BACKGROUND: Intravenous immunoglobulin (IVIG) resistance of Kawasaki disease (KD) patients have a heightened risk of coronary artery lesions. We aimed to explore the predictive factors of IVIG resistance of KD from Shandong Peninsula in China, and es...
Enhancing real-time heading estimation for pedestrian navigation via deep learning and smartphone embedded sensors.
Scientific reports
Aug 28, 2025
The accurate smartphone-based pedestrian navigation significantly depends on the precise heading estimation. However, heading estimation is still a challenging problem in most pedestrian navigation applications because of the bias of low-cost smartph...
A heart failure classification model from radial artery pulse wave using LSTM neural networks.
BMC medical informatics and decision making
Aug 27, 2025
BACKGROUND: Heart failure (HF) represents a pressing global health issue demanding innovative and accessible approaches for early detection. Non-invasive, rapid, and cost-effective techniques utilizing deep learning (DL) hold significant promise for ...
Development and validation of a deep learning model for early detection and screening of diabetic retinopathy.
BMC medical informatics and decision making
Aug 27, 2025
Early diagnosis and screening of diabetic retinopathy (DR) are crucial for reducing medical burdens and conserving healthcare resources. This study introduces an advanced AI-assisted recognition system designed to enhance the detection of DR lesions ...
Deep learning-based automatic facial symmetry scoring in peripheral facial palsy.
Scientific reports
Aug 27, 2025
Unilateral peripheral facial palsy (PFP) results in facial asymmetry and functional impairment, reducing quality of life. Accurate, objective assessment is vital for monitoring and rehabilitation. This study presents an automated method utilizes stan...
Deep learning for classifying imaging patterns of interstitial lung disease associated with idiopathic inflammatory myopathies.
Scientific reports
Aug 27, 2025
Diagnosing and classifying the imaging patterns of idiopathic inflammatory myopathies-associated interstitial lung disease (IIM-ILD) is a crucial but challenging task requiring specialized physicians' expertise. This study aims to develop and validat...
Helmets Labeling Crops: Kenya Crop Type Dataset Created via Helmet-Mounted Cameras and Deep Learning.
Scientific data
Aug 27, 2025
Accurate, up-to-date agricultural monitoring is essential for assessing food production, particularly in countries like Kenya, where recurring climate extremes, including floods and droughts, exacerbate food insecurity challenges. In regions dominate...
Chinese crop diseases and pests named entity recognition based on variational information bottleneck and feature enhancement.
Scientific reports
Aug 27, 2025
Chinese crop diseases and pests named entity recognition (CCDP-NER) is a critical step in extracting domain-specific information in the field of crop diseases and pests, playing a significant role in promoting agricultural informatization. To address...
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