AIMC Topic: Deep Learning

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Investigation of Inter-Patient, Intra-Patient, and Patient-Specific Based Training in Deep Learning for Classification of Heartbeat Arrhythmia.

Cardiovascular engineering and technology Feb 26, 2025
Effective diagnosis of electrocardiogram (ECG) is one of the simplest and fastest ways to assess the heart's function. In the recent decade, various attempts have been made to automate the classification of electrocardiogram signals to detect heartbe...
Diagnosis, Computer-Assisted Deep Learning Electrocardiography Databases, Factual Reproducibility of Results Humans Signal Processing, Computer-Assisted Arrhythmias, Cardiac Action Potentials Heart Rate Predictive Value of Tests
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Multi-axis transformer based U-Net with class balanced ensemble model for lung disease classification using X-ray images.

Journal of X-ray science and technology Feb 26, 2025
Chest X-rays are an essential diagnostic tool for identifying chest disorders because of its high sensitivity in detecting pathological anomalies in the lungs. Classification models based on conventional Convolutional Neural Networks (CNNs) are adve...
Algorithms Humans Lung Diseases Deep Learning Lung Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Neural Networks, Computer Image Processing, Computer-Assisted
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A novel interpretability framework for enzyme turnover number prediction boosted by pre-trained enzyme embeddings and adaptive gate network.

Methods (San Diego, Calif.) Feb 26, 2025
It is a vital step to identify the enzyme turnover number (kcat) in synthetic biology and early-stage drug discovery. Recently, deep learning methods have achieved inspiring process to predict kcat with the development of multi-species enzyme-substra...
Synthetic Biology Substrate Specificity Enzymes Deep Learning Kinetics Algorithms Drug Discovery Neural Networks, Computer
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Evaluation of AI-based nerve segmentation on ultrasound: relevance of standard metrics in the clinical setting.

British journal of anaesthesia Feb 26, 2025
BACKGROUND: In artificial intelligence for ultrasound-guided regional anaesthesia, accurate nerve identification is essential. The technology community typically favours objective metrics of pixel overlap on still-frame images, whereas clinical asses...
Humans Artificial Intelligence Nerve Block Ultrasonography, Interventional Deep Learning Anesthesia, Conduction
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Comparative analysis of machine learning and deep learning algorithms for knee arthritis detection using YOLOv8 models.

Journal of X-ray science and technology Feb 26, 2025
Knee arthritis is a prevalent joint condition that affects many people worldwide. Early detection and appropriate treatment are essential to slow the disease's progression and enhance patients' quality of life. In this study, various machine learning...
Deep Learning Knee Joint Osteoarthritis, Knee Neural Networks, Computer Humans Image Interpretation, Computer-Assisted Machine Learning Algorithms
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AI/ML modeling to enhance the capability of in vitro and in vivo tests in predicting human carcinogenicity.

Mutation research. Genetic toxicology and environmental mutagenesis Feb 26, 2025
This study aimed to develop an in silico model for predicting human carcinogenicity using advanced deep learning techniques, specifically Graph Neural Networks (GNN), through a multitask learning (MTL) approach. The MTL framework leveraged auxiliary ...
Carcinogens Carcinogenicity Tests Humans Neural Networks, Computer Animals Deep Learning Computer Simulation
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Deep learning-based LDL-C level prediction and explainable AI interpretation.

Computers in biology and medicine Feb 26, 2025
This study investigates the use of deep learning (DL) models to predict low-density lipoprotein cholesterol (LDL-C) levels. The dataset obtained from New York-Presbyterian Hospital/Weill Cornell Medical Center includes triglycerides (TG), total chole...
Deep Learning Cholesterol, LDL Female Humans Male
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Artificial intelligence in medical imaging: From task-specific models to large-scale foundation models.

Chinese medical journal Feb 26, 2025
Artificial intelligence (AI), particularly deep learning, has demonstrated remarkable performance in medical imaging across a variety of modalities, including X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emi...
Magnetic Resonance Imaging Diagnostic Imaging Positron-Emission Tomography Tomography, X-Ray Computed Deep Learning Humans Artificial Intelligence
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Large Model Era: Deep Learning in Osteoporosis Drug Discovery.

Journal of chemical information and modeling Feb 26, 2025
Osteoporosis is a systemic microstructural degradation of bone tissue, often accompanied by fractures, pain, and other complications, resulting in a decline in patients' life quality. In response to the increased incidence of osteoporosis, related dr...
Osteoporosis Drug Discovery Deep Learning Humans
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Deep Learning for Lumbar Disc Herniation Diagnosis and Treatment Decision-Making Using Magnetic Resonance Imagings: A Retrospective Study.

World neurosurgery Feb 26, 2025
BACKGROUND: Lumbar disc herniation (LDH) is a common cause of back and leg pain. Diagnosis relies on clinical history, physical exam, and imaging, with magnetic resonance imaging (MRI) being an important reference standard. While artificial intellige...
Artificial Intelligence Retrospective Studies Clinical Decision-Making Humans Neural Networks, Computer Deep Learning Magnetic Resonance Imaging Intervertebral Disc Displacement Lumbar Vertebrae Adult Female Aged Male Middle Aged
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