AIMC Journal:
Computer methods and programs in biomedicine

Showing 211 to 220 of 844 articles

A cluster-based ensemble approach for congenital heart disease prediction.

Computer methods and programs in biomedicine Nov 7, 2023
BACKGROUND: One of the most prevalent birth disorders is congenital heart diseases (CHD). Although CHD risk factors have been the subject of numerous studies, their propensity to cause CHD has not been tested. Particularly few research has attempted ...
Random Forest Heart Defects, Congenital Humans Machine Learning Forecasting Cross-Sectional Studies
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An edge-device-compatible algorithm for valvular heart diseases screening using phonocardiogram signals with a lightweight convolutional neural network and self-supervised learning.

Computer methods and programs in biomedicine Nov 4, 2023
BACKGROUND AND OBJECTIVES: Detection and classification of heart murmur using mobile-phone-collected sound is an emerging approach to the scale-up screening of valvular heart disease at a population level. Nonetheless, the widespread adoption of arti...
Supervised Machine Learning Humans Heart Valve Diseases Neural Networks, Computer Artificial Intelligence Algorithms
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Deep learning-based grading of white matter hyperintensities enables identification of potential markers in multi-sequence MRI data.

Computer methods and programs in biomedicine Oct 30, 2023
BACKGROUND: White matter hyperintensities (WMHs) are widely-seen in the aging population, which are associated with cerebrovascular risk factors and age-related cognitive decline. At present, structural atrophy and functional alterations coexisted wi...
Deep Learning Magnetic Resonance Imaging White Matter Diffusion Magnetic Resonance Imaging Brain Humans Aged
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Feature recognition in multiple CNNs using sEMG images from a prototype comfort test.

Computer methods and programs in biomedicine Oct 26, 2023
OBJECTIVE: Deep learning-based CNN networks have recently been investigated to solve the problem of body posture recognition based on surface electromyographic signals (sEMG). Influenced by these studies, to develop a combined approach of sEMG and CN...
Humans Neural Networks, Computer Algorithms Electromyography
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DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence.

Computer methods and programs in biomedicine Oct 24, 2023
BACKGROUND AND OBJECTIVE: Artificial intelligence (AI) has several uses in the healthcare industry, some of which include healthcare management, medical forecasting, practical making of decisions, and diagnosis. AI technologies have reached human-lik...
Deep Learning Lung Neoplasms Benchmarking Neural Networks, Computer Artificial Intelligence Humans
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Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space.

Computer methods and programs in biomedicine Oct 21, 2023
Positron emission tomography/computed tomography (PET/CT) is increasingly used in oncology, neurology, cardiology, and emerging medical fields. The success stems from the cohesive information that hybrid PET/CT imaging offers, surpassing the capabili...
Neoplasms Deep Learning Humans Positron Emission Tomography Computed Tomography Image Processing, Computer-Assisted Positron-Emission Tomography Multimodal Imaging
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SaRF: Saliency regularized feature learning improves MRI sequence classification.

Computer methods and programs in biomedicine Oct 20, 2023
BACKGROUND AND OBJECTIVE: Deep learning based medical image analysis technologies have the potential to greatly improve the workflow of neuro-radiologists dealing routinely with multi-sequence MRI. However, an essential step for current deep learning...
Deep Learning Magnetic Resonance Imaging Reproducibility of Results Humans
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Enlightening the path to NSCLC biomarkers: Utilizing the power of XAI-guided deep learning.

Computer methods and programs in biomedicine Oct 20, 2023
BACKGROUND AND OBJECTIVE: The early diagnosis of Non-small cell lung cancer (NSCLC) is of prime importance to improve the patient's survivability and quality of life. Being a heterogeneous disease at the molecular and cellular level, the biomarkers r...
Quality of Life Deep Learning Humans Biomarkers, Tumor Carcinoma, Non-Small-Cell Lung Cyclin T Lung Neoplasms
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A deep learning-based telemonitoring application to automatically assess oral diadochokinesis in patients with bulbar amyotrophic lateral sclerosis.

Computer methods and programs in biomedicine Oct 5, 2023
BACKGROUND AND OBJECTIVES: Timely identification of dysarthria progression in patients with bulbar-onset amyotrophic lateral sclerosis (ALS) is relevant to have a comprehensive assessment of the disease evolution. To this goal literature recognized t...
Deep Learning Humans Amyotrophic Lateral Sclerosis Software
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Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool.

Computer methods and programs in biomedicine Sep 29, 2023
This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cancerous breast models. The proposed PINN method combines deep learning and physical principles to predi...
Female Neural Networks, Computer Breast Neoplasms Humans Temperature Physics Artificial Intelligence
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