AIMC Topic: Semantics

Clear Filters Showing 31 to 40 of 1394 articles

Real-world insights of patient voices with age-related macular degeneration in the Republic of Korea and Taiwan: an AI-based Digital Listening study by Semantic-Natural Language Processing.

BMC medical informatics and decision making Mar 18, 2025
BACKGROUND: In this era of active online communication, patients increasingly share their healthcare experiences, concerns, and needs across digital platforms. Leveraging these vast repositories of real-world information, Digital Listening enables th...
Taiwan Natural Language Processing Artificial Intelligence Republic of Korea Humans Macular Degeneration Semantics
View on PubMed DOI

Histopathology image classification based on semantic correlation clustering domain adaptation.

Artificial intelligence in medicine Mar 17, 2025
Deep learning has been successfully applied to histopathology image classification tasks. However, the performance of deep models is data-driven, and the acquisition and annotation of pathological image samples are difficult, which limit the model's ...
Cluster Analysis Deep Learning Humans Semantics Image Interpretation, Computer-Assisted Animals Image Processing, Computer-Assisted
View on PubMed DOI

Comparing neural language models for medical concept representation and patient trajectory prediction.

Artificial intelligence in medicine Mar 10, 2025
Effective representation of medical concepts is crucial for secondary analyses of electronic health records. Neural language models have shown promise in automatically deriving medical concept representations from clinical data. However, the comparat...
Humans Natural Language Processing Neural Networks, Computer Semantics Machine Learning Electronic Health Records
View on PubMed DOI

Dual-branch dynamic hierarchical U-Net with multi-layer space fusion attention for medical image segmentation.

Scientific reports Mar 10, 2025
Accurate segmentation of organs or lesions from medical images is essential for accurate disease diagnosis and organ morphometrics. Previously, most researchers mainly added feature extraction modules and simply aggregated the semantic features to U-...
Algorithms Deep Learning Semantics Image Processing, Computer-Assisted Humans Neural Networks, Computer
View on PubMed DOI

Integration of large-scale community-developed causal loop diagrams: a Natural Language Processing approach to merging factors based on semantic similarity.

BMC public health Mar 8, 2025
BACKGROUND: Complex public health problems have been addressed in communities through systems thinking and participatory methods like Group Model Building (GMB) and Causal Loop Diagrams (CLDs) albeit with some challenges. This study aimed to explore ...
Victoria Natural Language Processing Semantics Child Causality Humans
View on PubMed DOI

Contextual information contributes to biomedical named entity normalization.

Journal of biomedical informatics Mar 6, 2025
OBJECTIVE: As one of the most crucial upstream tasks in biomedical informatics, biomedical named entity normalization (BNEN) aims to map mentioned named entities to uniform standard identifiers or terms. Most existing methods only consider the simila...
Medical Informatics Semantics Natural Language Processing Data Mining Humans Algorithms Databases, Factual
View on PubMed DOI

Comparative Study of Deep Transfer Learning Models for Semantic Segmentation of Human Mesenchymal Stem Cell Micrographs.

International journal of molecular sciences Mar 6, 2025
The aim of this study is to conduct a comparative assessment of the effectiveness of neural network models-U-Net, DeepLabV3+, SegNet and Mask R-CNN-for the semantic segmentation of micrographs of human mesenchymal stem cells (MSCs). A dataset of 320 ...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Mesenchymal Stem Cells Semantics
View on PubMed DOI

Learning Consistent Semantic Representation for Chest X-ray via Anatomical Localization in Self-Supervised Pre-Training.

IEEE journal of biomedical and health informatics Mar 6, 2025
Despite the similar global structures in Chest X-ray (CXR) images, the same anatomy exhibits varying appearances across images, including differences in local textures, shapes, colors, etc. Learning consistent representations for anatomical semantics...
Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Semantics Humans Algorithms Radiography, Thoracic Thorax
View on PubMed DOI

DRGCL: Drug Repositioning via Semantic-Enriched Graph Contrastive Learning.

IEEE journal of biomedical and health informatics Mar 6, 2025
Drug repositioning greatly reduces drug development costs and time by discovering new indications for existing drugs. With the development of technology and large-scale biological databases, computational drug repositioning has increasingly attracted...
Machine Learning Algorithms Drug Repositioning Databases, Factual Computational Biology Semantics Humans Neural Networks, Computer
View on PubMed DOI

Semantic-Enhanced Graph Contrastive Learning With Adaptive Denoising for Drug Repositioning.

IEEE journal of biomedical and health informatics Mar 6, 2025
The traditional drug development process requires a significant investment in workforce and financial resources. Drug repositioning as an efficient alternative has attracted much attention during the last few years. Despite the wide application and s...
Humans Machine Learning Deep Learning Drug Repositioning Semantics Algorithms Databases, Factual
View on PubMed DOI
Popular Topics
Recent Journals