Artificial Intelligence Medical Compendium

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

Showing 2,431 to 2,440 of 167,235 articles

Enhancing pediatric distal radius fracture detection: optimizing YOLOv8 with advanced AI and machine learning techniques.

BMC medical imaging Aug 5, 2025
BACKGROUND: In emergency departments, residents and physicians interpret X-rays to identify fractures, with distal radius fractures being the most common in children. Skilled radiologists typically ensure accurate readings in well-resourced hospitals... read more 
Male Child, Preschool Female Radius Fractures Wrist Fractures Radiographic Image Interpretation, Computer-Assisted Child Machine Learning Humans

DREAM: a Dual Variational Framework for Unsupervised Graph Domain Adaptation.

IEEE transactions on pattern analysis and machine intelligence Aug 5, 2025
Graph classification has been a prominent problem in graph machine learning fields. This problem has been investigated by leveraging message passing neural networks (MPNNs) to learn powerful graph representations. However, MPNNs extract topological s... read more 

Uni3R: Unified 3D Reconstruction and Semantic Understanding via Generalizable Gaussian Splatting from Unposed Multi-View Images

arXiv Aug 5, 2025
Reconstructing and semantically interpreting 3D scenes from sparse 2D views remains a fundamental challenge in computer vision. Conventional methods often decouple semantic understanding from reconstruction or necessitate costly per-scene optimizat... read more 
Computer Vision and Pattern Recognition

Road damage detection based on improved YOLO algorithm.

Scientific reports Aug 5, 2025
With urbanization accelerating and transportation demand growing, road damage has become an increasingly pressing issue. Traditional manual inspection methods are not only time-consuming but also costly, struggling to meet current demands. As a resul... read more 

Predicting Subcutaneous Antibody Bioavailability Using Ensemble Protein Language Models.

Molecular pharmaceutics Aug 5, 2025
Monoclonal antibodies are pivotal in modern therapeutics, yet predicting their subcutaneous bioavailability remains challenging due to the intricacies of the SC environment and the limitations of traditional experimental models. In this study, we int... read more 

Transfer learning driven fake news detection and classification using large language models.

Scientific reports Aug 5, 2025
Today, the problem of using social media to spread false information is not only widespread but also quite serious. The extensive dissemination of fake news, regardless of whether it is produced by human beings or computer programs, has a negative im... read more 
Machine Learning Algorithms Humans Large Language Models Deception Social Media Language

YOLO-LeafNet: a robust deep learning framework for multispecies plant disease detection with data augmentation.

Scientific reports Aug 5, 2025
Plant diseases significantly harm crops, resulting in significant economic losses across the globe. In order to reduce the harm that these diseases produce, plant diseases must be diagnosed accurately and timely manner. In this work, a YOLO-LeafNet a... read more 
Vitis Capsicum Plant Diseases Plant Leaves Zea mays Image Processing, Computer-Assisted Deep Learning Algorithms

Developing a code of ethics in health information management.

Health information management : journal of the Health Information Management Association of Australia Aug 5, 2025
An effective strategy for promoting ethics within organisations is to establish clear guidelines that outline acceptable behaviours in different situations through a code of ethics. In the field of health information management (HIM), a code of ethi... read more 

Daily insider threat detection with hybrid TCN transformer architecture.

Scientific reports Aug 5, 2025
Internal threats are becoming more common in today's cybersecurity landscape. This is mainly because internal personnel often have privileged access, which can be exploited for malicious purposes. Traditional detection methods frequently fail due to ... read more 
Neural Networks, Computer Algorithms Humans Computer Security

R2GenKG: Hierarchical Multi-modal Knowledge Graph for LLM-based Radiology Report Generation

arXiv Aug 5, 2025
X-ray medical report generation is one of the important applications of artificial intelligence in healthcare. With the support of large foundation models, the quality of medical report generation has significantly improved. However, challenges suc... read more 
Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
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