AIMC Journal:
Computer methods and programs in biomedicine

Showing 201 to 210 of 844 articles

CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: A clinically-inspired deep learning pipeline.

Computer methods and programs in biomedicine Dec 21, 2023
BACKGROUND AND OBJECTIVE: The standard non-invasive imaging technique used to assess the severity and extent of Coronary Artery Disease (CAD) is Coronary Computed Tomography Angiography (CCTA). However, manual grading of each patient's CCTA according...
Coronary Artery Disease Computed Tomography Angiography Predictive Value of Tests Coronary Angiography Coronary Stenosis Humans Reproducibility of Results Deep Learning
View on PubMed DOI

Multimodal deep learning for personalized renal cell carcinoma prognosis: Integrating CT imaging and clinical data.

Computer methods and programs in biomedicine Dec 14, 2023
BACKGROUND AND OBJECTIVE: Renal cell carcinoma represents a significant global health challenge with a low survival rate. The aim of this research was to devise a comprehensive deep-learning model capable of predicting survival probabilities in patie...
Kidney Neoplasms Carcinoma, Renal Cell Retrospective Studies Tomography, X-Ray Computed Deep Learning Kidney Humans
View on PubMed DOI

Deep learning-based dynamic ventilatory threshold estimation from electrocardiograms.

Computer methods and programs in biomedicine Dec 10, 2023
BACKGROUND AND OBJECTIVE: The ventilatory threshold (VT) marks the transition from aerobic to anaerobic metabolism and is used to assess cardiorespiratory endurance. A conventional way to assess VT is cardiopulmonary exercise testing, which requires ...
Neural Networks, Computer Algorithms Humans Exercise Test Deep Learning Electrocardiography
View on PubMed DOI

SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data.

Computer methods and programs in biomedicine Dec 2, 2023
BACKGROUND: In Diffuse Large B-Cell Lymphoma (DLBCL), several methodologies are emerging to derive novel biomarkers to be incorporated in the risk assessment. We realized a pipeline that relies on autoencoders (AE) and Explainable Artificial Intellig...
Humans Artificial Intelligence Lymphoma, Large B-Cell, Diffuse Antineoplastic Combined Chemotherapy Protocols Gene Expression Prognosis Retrospective Studies
View on PubMed DOI

MaTPIP: A deep-learning architecture with eXplainable AI for sequence-driven, feature mixed protein-protein interaction prediction.

Computer methods and programs in biomedicine Nov 30, 2023
BACKGROUND AND OBJECTIVE: Protein-protein interaction (PPI) is a vital process in all living cells, controlling essential cell functions such as cell cycle regulation, signal transduction, and metabolic processes with broad applications that include ...
Animals ROC Curve Proteins Humans Neural Networks, Computer Deep Learning Amino Acid Sequence Mice
View on PubMed DOI

Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer.

Computer methods and programs in biomedicine Nov 22, 2023
BACKGROUND AND OBJECTIVE: Recently, deep learning (DL) algorithms showed to be promising in predicting outcomes such as distant metastasis-free survival (DMFS) and overall survival (OS) using pre-treatment imaging in head and neck cancer. Gross Tumor...
Deep Learning Head and Neck Neoplasms Humans Prognosis Positron Emission Tomography Computed Tomography Oropharyngeal Neoplasms
View on PubMed DOI

Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023).

Computer methods and programs in biomedicine Nov 22, 2023
BACKGROUND AND OBJECTIVES: Non-alcoholic fatty liver disease (NAFLD) is a common liver disease with a rapidly growing incidence worldwide. For prognostication and therapeutic decisions, it is important to distinguish the pathological stages of NAFLD:...
Biopsy Non-alcoholic Fatty Liver Disease Liver Cirrhosis Liver Biomarkers Ultrasonography Humans Artificial Intelligence
View on PubMed DOI

EESCN: A novel spiking neural network method for EEG-based emotion recognition.

Computer methods and programs in biomedicine Nov 20, 2023
BACKGROUND AND OBJECTIVE: Although existing artificial neural networks have achieved good results in electroencephalograph (EEG) emotion recognition, further improvements are needed in terms of bio-interpretability and robustness. In this research, w...
Neural Networks, Computer Emotions Electroencephalography
View on PubMed DOI

Evaluation of deep learning training strategies for the classification of bone marrow cell images.

Computer methods and programs in biomedicine Nov 13, 2023
BACKGROUND AND OBJECTIVE: The classification of bone marrow (BM) cells by light microscopy is an important cornerstone of hematological diagnosis, performed thousands of times a day by highly trained specialists in laboratories worldwide. As the manu...
Blood Cells Humans Bone Marrow Cells Neural Networks, Computer Microscopy Deep Learning
View on PubMed DOI

A knowledge graph-based data harmonization framework for secondary data reuse.

Computer methods and programs in biomedicine Nov 10, 2023
BACKGROUND AND OBJECTIVE: The adoption of new technologies in clinical care systems has propitiated the availability of a great amount of valuable data. However, this data is usually heterogeneous, requiring its harmonization to be integrated and ana...
Knowledge Bases Semantics Pattern Recognition, Automated Delivery of Health Care Machine Learning Data Management
View on PubMed DOI
Popular Topics
Popular Journals