AIMC Journal:
Computer methods and programs in biomedicine

Showing 181 to 190 of 844 articles

Exploring machine learning for untargeted metabolomics using molecular fingerprints.

Computer methods and programs in biomedicine Apr 8, 2024
BACKGROUND: Metabolomics, the study of substrates and products of cellular metabolism, offers valuable insights into an organism's state under specific conditions and has the potential to revolutionise preventive healthcare and pharmaceutical researc...
Machine Learning Metabolomics Humans Ataxia Telangiectasia Cell Line Cell Hypoxia
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Attention-based deep learning framework for automatic fundus image processing to aid in diabetic retinopathy grading.

Computer methods and programs in biomedicine Apr 3, 2024
BACKGROUND AND OBJECTIVE: Early detection and grading of Diabetic Retinopathy (DR) is essential to determine an adequate treatment and prevent severe vision loss. However, the manual analysis of fundus images is time consuming and DR screening progra...
Diabetic Retinopathy Artificial Intelligence Humans Deep Learning Diabetes Mellitus Fundus Oculi Image Interpretation, Computer-Assisted
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SAGL: A self-attention-based graph learning framework for predicting survival of colorectal cancer patients.

Computer methods and programs in biomedicine Apr 2, 2024
BACKGROUND AND OBJECTIVE: Colorectal cancer (CRC) is one of the most commonly diagnosed cancers worldwide. The accurate survival prediction for CRC patients plays a significant role in the formulation of treatment strategies. Recently, machine learni...
Postoperative Period Neural Networks, Computer Humans Colorectal Neoplasms Machine Learning ROC Curve
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Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods.

Computer methods and programs in biomedicine Mar 12, 2024
BACKGROUND: Estimating the risk of a difficult tracheal intubation should help clinicians in better anaesthesia planning, to maximize patient safety. Routine bedside screenings suffer from low sensitivity.
Machine Learning Humans Prospective Studies Bayes Theorem Neural Networks, Computer Intubation, Intratracheal
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MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms.

Computer methods and programs in biomedicine Mar 10, 2024
BACKGROUND AND OBJECTIVE: Deep Learning models have emerged as a significant tool in generating efficient solutions for complex problems including cancer detection, as they can analyze large amounts of data with high efficiency and performance. Recen...
Mammography Humans Image Processing, Computer-Assisted Neoplasms Calcinosis Deep Learning
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IODeep: An IOD for the introduction of deep learning in the DICOM standard.

Computer methods and programs in biomedicine Mar 8, 2024
BACKGROUND AND OBJECTIVE: In recent years, Artificial Intelligence (AI) and in particular Deep Neural Networks (DNN) became a relevant research topic in biomedical image segmentation due to the availability of more and more data sets along with the e...
Computers Deep Learning Artificial Intelligence Software Radiology Information Systems
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Brain MR image simulation for deep learning based medical image analysis networks.

Computer methods and programs in biomedicine Mar 7, 2024
BACKGROUND AND OBJECTIVE: As large sets of annotated MRI data are needed for training and validating deep learning based medical image analysis algorithms, the lack of sufficient annotated data is a critical problem. A possible solution is the genera...
Neuroimaging Magnetic Resonance Imaging Humans Algorithms Brain Deep Learning Image Processing, Computer-Assisted
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Circadian assessment of heart failure using explainable deep learning and novel multi-parameter polar images.

Computer methods and programs in biomedicine Mar 6, 2024
BACKGROUND AND OBJECTIVE: Heart failure (HF) is a multi-faceted and life-threatening syndrome that affects more than 64.3 million people worldwide. Current gold-standard screening technique, echocardiography, neglects cardiovascular information regul...
Heart Coronary Artery Disease Heart Failure Heart Rate Middle Aged Deep Learning Humans
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Towards precision medicine in breast imaging: A novel open mammography database with tailor-made 3D image retrieval for AI and teaching.

Computer methods and programs in biomedicine Mar 3, 2024
This project addresses the global challenge of breast cancer, particularly in low-resource settings, by creating a pioneering mammography database. Breast cancer, identified by the World Health Organization as a leading cause of cancer death among wo...
Artificial Intelligence Precision Medicine Humans Mammography Female Breast Breast Neoplasms
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Medical long-tailed learning for imbalanced data: Bibliometric analysis.

Computer methods and programs in biomedicine Feb 29, 2024
BACKGROUND: In the last decade, long-tail learning has become a popular research focus in deep learning applications in medicine. However, no scientometric reports have provided a systematic overview of this scientific field. We utilized bibliometric...
Publications Deep Learning Bibliometrics Humans
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