AIMC Journal:
IEEE journal of biomedical and health informatics
Showing 1091 to 1100 of 1118 articles
Bipartite Graph Adversarial Network for Subject-Independent Emotion Recognition.
IEEE journal of biomedical and health informatics
May 14, 2025
Emotions play a vital role in connecting and sharing with others. However, individuals with emotional disorders face challenges in expressing their emotions, affecting their social lives. Current artificial intelligence tools support this problem by ...
An Interpretable AI for Smart Homes: Identifying Fall Prevention Strategies for Older Adults Using Multimodal Deep Learning.
IEEE journal of biomedical and health informatics
May 13, 2025
Falls are a significant cause of mortality among older adults and are considered preventable emergencies. We developed an interpretation framework, including multimodal predictive models that capture both static and timeseries data, and analyzed glob...
Text-Assisted Vision Model for Medical Image Segmentation.
IEEE journal of biomedical and health informatics
May 13, 2025
Precise medical image segmentation is important for automating diagnosis and treatment planning in healthcare. While images present the most significant information for segmenting organs using deep learning models, text reports also provide complemen...
Facial Anomaly Appraisal Using Discrepancy Optimization-Driven Automatic Inpainting.
IEEE journal of biomedical and health informatics
May 12, 2025
This work presents a novel machine learning and signal processing framework designed to consistently detect, localize, and rate facial anomalies such as cleft lip deformity. The goal of this research is to establish a universal and objective measure ...
GAMMNet: Gating Multi-head Attention in a Multi-modal Deep Network for Sound Based Respiratory Disease Detection.
IEEE journal of biomedical and health informatics
May 12, 2025
Respiratory diseases present significant challenges to global health due to their high morbidity and mortality rates. Traditional diagnostic methods, such as chest radiographs and blood tests, often lead to unnecessary costs and resource strain, as w...
Paradigm-Shifting Attention-based Hybrid View Learning for Enhanced Mammography Breast Cancer Classification with Multi-Scale and Multi-View Fusion.
IEEE journal of biomedical and health informatics
May 12, 2025
Breast cancer poses a serious threat to women's health, and its early detection is crucial for enhancing patient survival rates. While deep learning has significantly advanced mammographic image analysis, existing methods struggle to balance between ...
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation.
IEEE journal of biomedical and health informatics
May 9, 2025
We present a comprehensive analysis of deep learning approaches for Electronic Health Record (EHR) time-series imputation, examining how the interplay between architectural and framework design decisions gives rise to higher-level properties of a giv...
Multi-Task Collaborative Assisted Training Method for Grouping Fuzzy Categories Classification of Cervical Cancer Cells.
IEEE journal of biomedical and health informatics
May 9, 2025
Cervical cancer is a malignant tumor that endangers women's life and health. While deep learning has enhanced the accuracy of cervical cell classification, there remain obstacles impeding further performance enhancement, including the similarities be...
A Finetuning Deep Learning Framework for Pan-species Promoters with Pseudo Time Series Analysis on Time and Frequency Space.
IEEE journal of biomedical and health informatics
May 9, 2025
Promoter identification and classification play crucial roles in unraveling gene mechanisms. Promoters are characterized by specific motifs, such as the TATA-box for eukaryotes and the Pribnow box for prokaryotes, which are known as elements. These c...
GENNDTI: Drug-Target Interaction Prediction Using Graph Neural Network Enhanced by Router Nodes.
IEEE journal of biomedical and health informatics
Dec 1, 2024
Identifying drug-target interactions (DTI) is crucial in drug discovery and repurposing, and in silico techniques for DTI predictions are becoming increasingly important for reducing time and cost. Most interaction-based DTI models rely on the guilt-...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30540
- Neural Networks, Computer 29463
- Algorithms 26500
- Deep Learning 25983
- Artificial Intelligence 24008
- Robotics 13278
- Image Processing, Computer-Assisted 9374
- Retrospective Studies 8929
- Magnetic Resonance Imaging 6071
- Reproducibility of Results 5535
- Tomography, X-Ray Computed 4676
- Support Vector Machine 4639
- Computational Biology 4186
- Brain 3988
- Computer Simulation 3855
Popular Journals
- Scientific reports 5361
- Sensors (Basel, Switzerland) 4794
- PloS one 3936
- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1822
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1118
- Journal of chemical information and modeling 960
- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 854
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 817