AIMC Topic: Algorithms

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Development of an Artificial Intelligence-Enabled Electrocardiography to Detect 23 Cardiac Arrhythmias and Predict Cardiovascular Outcomes.

Journal of medical systems Apr 22, 2025
Arrhythmias are common and can affect individuals with or without structural heart disease. Deep learning models (DLMs) have shown the ability to recognize arrhythmias using 12-lead electrocardiograms (ECGs). However, the limited types of arrhythmias...
Aged Sensitivity and Specificity Male Middle Aged Atrial Fibrillation Deep Learning Artificial Intelligence Electrocardiography ROC Curve Algorithms Humans Heart Failure Female Arrhythmias, Cardiac
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A machine learning toolkit assisted approach for IMRT fluence map optimization: feasibility and advantages.

Biomedical physics & engineering express Apr 22, 2025
. Traditional machine learning (ML) and deep learning (DL) applications in treatment planning rely on complex model architectures and large, high-quality training datasets. However, they cannot fully replace the conventional optimization process. Thi...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Algorithms Humans Male Feasibility Studies Head and Neck Neoplasms Machine Learning Deep Learning Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted
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Optimized glaucoma detection using HCCNN with PSO-driven hyperparameter tuning.

Biomedical physics & engineering express Apr 22, 2025
. This study is focused on creating an effective glaucoma detection system employing a Hybrid Centric Convolutional Neural Network (HCCNN) model. By using Particle Swarm Optimization (PSO), classification accuracy is increased and computing complexit...
Image Processing, Computer-Assisted Fundus Oculi Image Interpretation, Computer-Assisted Optic Disk Neural Networks, Computer Glaucoma Algorithms Humans
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A semi-supervised prototypical network for prostate lesion segmentation from multimodality MRI.

Physics in medicine and biology Apr 22, 2025
Prostate lesion segmentation from multiparametric magnetic resonance images is particularly challenging due to the limited availability of labeled data. This scarcity of annotated images makes it difficult for supervised models to learn the complex f...
Multimodal Imaging Prostatic Neoplasms Prostate Male Image Processing, Computer-Assisted Magnetic Resonance Imaging Supervised Machine Learning Humans Algorithms
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Advancing Single-Plane Wave Ultrasound Imaging With Implicit Multiangle Acoustic Synthesis via Deep Learning.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Apr 22, 2025
Plane wave imaging (PWI) is pivotal in medical ultrasound (US), prized for its ultrafast capabilities essential for real-time physiological monitoring. Traditionally, enhancing image quality in PWI has necessitated an increase in the number of plane ...
Animals Deep Learning Ultrasonography Image Processing, Computer-Assisted Humans Algorithms Phantoms, Imaging
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Tissue Clutter Filtering Methods in Ultrasound Localization Microscopy Based on Complex-Valued Networks and Knowledge Distillation.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Apr 22, 2025
Ultrasound localization microscopy (ULM) is a blood flow imaging technique that utilizes micrometer-sized microbubbles (MBs) as contrast agents to achieve high-resolution microvessel reconstruction through precise localization and tracking of MBs. Th...
Image Processing, Computer-Assisted Contrast Media Microscopy Microbubbles Neural Networks, Computer Animals Phantoms, Imaging Algorithms Deep Learning Microvessels Ultrasonography
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MM-UKAN++: A Novel Kolmogorov-Arnold Network-Based U-Shaped Network for Ultrasound Image Segmentation.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Apr 22, 2025
Ultrasound (US) imaging is an important and commonly used medical imaging modality. Accurate and fast automatic segmentation of regions of interest (ROIs) in US images is essential for enhancing the efficiency of clinical and robot-assisted diagnosis...
Ultrasonography Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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A dual-path convolutional neural network combined with an attention-based bidirectional long short-term memory network for stock price prediction.

PloS one Apr 22, 2025
The complexities of stock price data, characterized by its nonlinearity, non-stationarity, and intricate spatiotemporal patterns, make accurate prediction a substantial challenge. To address this, we propose the DCA-BiLSTM model, which combines dual-...
Convolutional Neural Networks Humans Memory, Short-Term Neural Networks, Computer Commerce Models, Economic Algorithms Investments
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A Multimodal Approach for Early Identification of Mild Cognitive Impairment and Alzheimer's Disease With Fusion Network Using Eye Movements and Speech.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 22, 2025
Detecting Alzheimer's disease (AD) in its earliest stages, particularly during an onset of Mild Cognitive Impairment (MCI), remains challenging due to the overlap of initial symptoms with normal aging processes. Given that no cure exists and current ...
Middle Aged Eye-Tracking Technology Deep Learning Aged Aged, 80 and over Reading Alzheimer Disease Male Humans Fixation, Ocular Early Diagnosis Speech Neural Networks, Computer Pupil Eye Movements Neuropsychological Tests Algorithms Cognitive Dysfunction Female
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Enhancing forensic shoeprint analysis: Application of the Shoe-MS algorithm to challenging evidence.

Science & justice : journal of the Forensic Science Society Apr 21, 2025
Quantitative assessment of pattern evidence is a challenging task, particularly in the context of forensic investigations where the accurate identification of sources and classification of items in evidence are critical. Emerging deep learning approa...
Humans Image Processing, Computer-Assisted Pattern Recognition, Automated Forensic Sciences Shoes Algorithms Databases, Factual Deep Learning
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