AIMC Topic: Deep Learning

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Deep Learning-Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study.

Journal of medical Internet research Feb 28, 2025
BACKGROUND: In-hospital cardiac arrest (IHCA) is a severe and sudden medical emergency that is characterized by the abrupt cessation of circulatory function, leading to death or irreversible organ damage if not addressed immediately. Emergency depart...
Middle Aged Humans Triage Female Deep Learning Emergency Service, Hospital Aged Electrocardiography Heart Arrest Adult Male
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Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study.

Cancer imaging : the official publication of the International Cancer Imaging Society Feb 28, 2025
OBJECTIVE: Exploring the construction of a fusion model that combines radiomics and deep learning (DL) features is of great significance for the precise preoperative diagnosis of meningioma sinus invasion.
Meningeal Neoplasms Cranial Sinuses Humans Retrospective Studies Deep Learning ROC Curve Magnetic Resonance Imaging Neoplasm Invasiveness Preoperative Care Meningioma Radiomics Male Female Middle Aged Aged Adult
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Integrating convolutional layers and biformer network with forward-forward and backpropagation training.

Scientific reports Feb 28, 2025
Accurate molecular property prediction is crucial for drug discovery and computational chemistry, facilitating the identification of promising compounds and accelerating therapeutic development. Traditional machine learning falters with high-dimensio...
Drug Discovery Deep Learning Humans Neural Networks, Computer Algorithms
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CatPred: a comprehensive framework for deep learning in vitro enzyme kinetic parameters.

Nature communications Feb 28, 2025
Estimation of enzymatic activities still heavily relies on experimental assays, which can be cost and time-intensive. We present CatPred, a deep learning framework for predicting in vitro enzyme kinetic parameters, including turnover numbers (k), Mic...
Deep Learning Kinetics Uncertainty Enzymes
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GBCHV an advanced deep learning anatomy aware model for accurate classification of gallbladder cancer utilizing ultrasound images.

Scientific reports Feb 28, 2025
This study introduces a novel deep learning approach aimed at accurately classifying Gallbladder Cancer (GBC) into benign, malignant, and normal categories using ultrasound images from the challenging GBC USG (GBCU) dataset. The proposed methodology ...
Neural Networks, Computer Deep Learning Ultrasonography Humans Image Processing, Computer-Assisted Gallbladder Neoplasms Gallbladder
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Deep Ensemble for Central Serous Microscopic Retinopathy Detection in Retinal Optical Coherence Tomographic Images.

Microscopy research and technique Feb 27, 2025
The retina is an important part of the eye that aids in focusing light and visual recognition to the brain. Hence, its damage causes vision loss in the human eye. Central serous retinopathy is a common retinal disorder in which serous detachment occu...
Humans Tomography, Optical Coherence Retina Central Serous Chorioretinopathy Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted
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Enhancing atrial fibrillation detection in PPG analysis with sparse labels through contrastive learning.

Computer methods and programs in biomedicine Feb 27, 2025
BACKGROUND: With the advancements in wearable technology, photoplethysmography (PPG) has emerged as a promising technique for detecting atrial fibrillation (AF) due to its ability to capture cardiovascular information. However, current deep learning-...
Wearable Electronic Devices Atrial Fibrillation Algorithms Photoplethysmography Humans Databases, Factual Signal Processing, Computer-Assisted Machine Learning Deep Learning
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ScreenDx, an artificial intelligence-based algorithm for the incidental detection of pulmonary fibrosis.

The American journal of the medical sciences Feb 27, 2025
BACKGROUND: Nonspecific symptoms and variability in radiographic reporting patterns contribute to a diagnostic delay of the diagnosis of pulmonary fibrosis. An attractive solution is the use of machine-learning algorithms to screen for radiographic f...
Pulmonary Fibrosis Incidental Findings Middle Aged Deep Learning Algorithms Cohort Studies Humans Aged Tomography, X-Ray Computed Sensitivity and Specificity Artificial Intelligence Female Male Machine Learning
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Artificial intelligence-enabled lipid droplets quantification: Comparative analysis of NIS-elements Segment.ai and ZeroCostDL4Mic StarDist networks.

Methods (San Diego, Calif.) Feb 27, 2025
Lipid droplets (LDs) are dynamic organelles that are present in almost all cell types, with a particularly high prevalence in adipocytes. The phenotype of LDs in these cells reflects their maturity, metabolic activity and function. Although LDs quant...
Adipocytes 3T3-L1 Cells Lipolysis Lipid Droplets Image Processing, Computer-Assisted Mice Microscopy, Confocal Animals Deep Learning Neural Networks, Computer Artificial Intelligence Software
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Deep learning-driven prediction in healthcare systems: Applying advanced CNNs for enhanced breast cancer detection.

Computers in biology and medicine Feb 27, 2025
The mortality risk associated with breast cancer is experiencing an exponential rise, underscoring the critical importance of early detection. It is the primary cause of mortality among women under 50 and ranks as the second deadliest disease globall...
Breast Neoplasms Middle Aged Deep Learning Humans Neural Networks, Computer Female Early Detection of Cancer Mammography
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