AIMC Topic: Databases, Factual

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ECGVEDNET: A Variational Encoder-Decoder Network for ECG Delineation in Morphology Variant ECGs.

IEEE transactions on bio-medical engineering Jun 19, 2024
Electrocardiogram (ECG) delineation to identify the fiducial points of ECG segments, plays an important role in cardiovascular diagnosis and care. Whilst deep delineation frameworks have been deployed within the literature, several factors still hind...
Databases, Factual Deep Learning Electrocardiography Signal Processing, Computer-Assisted Humans Algorithms
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Multimodal deep learning for dementia classification using text and audio.

Scientific reports Jun 16, 2024
Dementia is a progressive neurological disorder that affects the daily lives of older adults, impacting their verbal communication and cognitive function. Early diagnosis is important to enhance the lifespan and quality of life for affected individua...
Deep Learning Aged Humans Aged, 80 and over Dementia Male Databases, Factual Female
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Multi-label classification of retinal diseases based on fundus images using Resnet and Transformer.

Medical & biological engineering & computing Jun 14, 2024
Retinal disorders are a major cause of irreversible vision loss, which can be mitigated through accurate and early diagnosis. Conventionally, fundus images are used as the gold diagnosis standard in detecting retinal diseases. In recent years, more a...
Algorithms Databases, Factual Deep Learning Image Processing, Computer-Assisted Area Under Curve Fundus Oculi Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Retinal Diseases
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Sepsis mortality prediction with Machine Learning Tecniques.

Medicina intensiva Jun 13, 2024
OBJECTIVE: To develop a sepsis death classification model based on machine learning techniques for patients admitted to the Intensive Care Unit (ICU).
Spain Sepsis Machine Learning Cross-Sectional Studies Hospital Mortality Databases, Factual Male Lactic Acid Humans Female Intensive Care Units Middle Aged Aged Sensitivity and Specificity
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sMRI-ADNet: an interpretable deep learning framework integrating Euclidean-graph representations of Alzheimer's disease solely from structural MRI.

Magma (New York, N.Y.) Jun 13, 2024
OBJECTIVE: To establish a multi-dimensional representation solely on structural MRI (sMRI) for early diagnosis of AD.
Gray Matter Magnetic Resonance Imaging Alzheimer Disease Female Early Diagnosis Aged Aged, 80 and over Databases, Factual Deep Learning Male Brain Image Processing, Computer-Assisted Humans Middle Aged Retrospective Studies
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Evaluating ChatGPT to test its robustness as an interactive information database of radiation oncology and to assess its responses to common queries from radiotherapy patients: A single institution investigation.

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique Jun 12, 2024
PURPOSE: Commercial vendors have created artificial intelligence (AI) tools for use in all aspects of life and medicine, including radiation oncology. AI innovations will likely disrupt workflows in the field of radiation oncology. However, limited d...
Databases, Factual Neoplasms Surveys and Questionnaires Radiation Oncology Humans Artificial Intelligence
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Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases.

Medical & biological engineering & computing Jun 11, 2024
The use of invasive mechanical ventilation (IMV) is crucial in rescuing patients with respiratory dysfunction. Accurately predicting the demand for IMV is vital for clinical decision-making. However, current techniques are invasive and challenging to...
Aged Adult Male Algorithms Databases, Factual Female Middle Aged Respiration, Artificial Humans Machine Learning
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Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis.

Scientific reports Jun 9, 2024
Hepatocellular carcinoma (HCC) is a common malignancy with poor survival and requires long-term follow-up. Hence, we collected information on patients with Primary Hepatocellular Carcinoma in the United States from the Surveillance, Epidemiology, and...
Neural Networks, Computer Databases, Factual Prognosis Humans Liver Neoplasms Carcinoma, Hepatocellular United States Male SEER Program Middle Aged Proportional Hazards Models Deep Learning Female Aged Survival Rate
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MultiTrans: Multi-branch transformer network for medical image segmentation.

Computer methods and programs in biomedicine Jun 8, 2024
BACKGROUND AND OBJECTIVE: Transformer, which is notable for its ability of global context modeling, has been used to remedy the shortcomings of Convolutional neural networks (CNN) and break its dominance in medical image segmentation. However, the se...
Image Processing, Computer-Assisted Humans Diagnostic Imaging Neural Networks, Computer Algorithms Databases, Factual
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xECGArch: a trustworthy deep learning architecture for interpretable ECG analysis considering short-term and long-term features.

Scientific reports Jun 7, 2024
Deep learning-based methods have demonstrated high classification performance in the detection of cardiovascular diseases from electrocardiograms (ECGs). However, their blackbox character and the associated lack of interpretability limit their clinic...
Databases, Factual Deep Learning Electrocardiography Humans Neural Networks, Computer Artificial Intelligence Atrial Fibrillation Algorithms
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