AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Semantics

Showing 511 to 520 of 1350 articles

Clear Filters

Chinese Image Caption Generation via Visual Attention and Topic Modeling.

IEEE transactions on cybernetics
Automatic image captioning is to conduct the cross-modal conversion from image visual content to natural language text. Involving computer vision (CV) and natural language processing (NLP), it has become one of the most sophisticated research issues ...

A Topic Recognition Method of News Text Based on Word Embedding Enhancement.

Computational intelligence and neuroscience
Topic recognition technology has been commonly applied to identify different categories of news topics from the vast amount of web information, which has a wide application prospect in the field of online public opinion monitoring, news recommendatio...

DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism.

Methods (San Diego, Calif.)
Drug-drug interactions (DDIs) aim at describing the effect relations produced by a combination of two or more drugs. It is an important semantic processing task in the field of bioinformatics such as pharmacovigilance and clinical research. Recently,...

ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images.

Artificial intelligence in medicine
As an effective way of routine prenatal diagnosis, ultrasound (US) imaging has been widely used recently. Biometrics obtained from the fetal segmentation shed light on fetal health monitoring. However, the segmentation in US images has strict require...

Dynamic Heterogeneous User Generated Contents-Driven Relation Assessment via Graph Representation Learning.

Sensors (Basel, Switzerland)
Cross-domain decision-making systems are suffering a huge challenge with the rapidly emerging uneven quality of user-generated data, which poses a heavy responsibility to online platforms. Current content analysis methods primarily concentrate on non...

Cross-Modal Object Detection Based on a Knowledge Update.

Sensors (Basel, Switzerland)
As an important field of computer vision, object detection has been studied extensively in recent years. However, existing object detection methods merely utilize the visual information of the image and fail to mine the high-level semantic informatio...

The BMS-LM ontology for biomedical data reporting throughout the lifecycle of a research study: From data model to ontology.

Journal of biomedical informatics
Biomedical research data reuse and sharing is essential for fostering research progress. To this aim, data producers need to master data management and reporting through standard and rich metadata, as encouraged by open data initiatives such as the F...

From Perception to Navigation in Environments with Persons: An Indoor Evaluation of the State of the Art.

Sensors (Basel, Switzerland)
Research in the field of social robotics is allowing service robots to operate in environments with people. In the aim of realizing the vision of humans and robots coexisting in the same environment, several solutions have been proposed to (1) percei...

Clinical language search algorithm from free-text: facilitating appropriate imaging.

BMC medical imaging
BACKGROUND: The comprehensiveness and maintenance of the American College of Radiology (ACR) Appropriateness Criteria (AC) makes it a unique resource for evidence-based clinical imaging decision support, but it is underutilized by clinicians. To faci...

Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition.

IEEE transactions on pattern analysis and machine intelligence
Recognizing multiple labels of an image is a practical yet challenging task, and remarkable progress has been achieved by searching for semantic regions and exploiting label dependencies. However, current works utilize RNN/LSTM to implicitly capture ...