Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 171 to 180 of 156,985 articles
Evaluation of AI-based detection of incidental pulmonary emboli in cardiac CT angiography scans.
The international journal of cardiovascular imaging
Jul 7, 2025
Incidental pulmonary embolism (PE) is detected in 1% of cardiac CT angiography (CCTA) scans, despite the targeted aortic opacification and limited field of view. While artificial intelligence (AI) algorithms have proven effective in detecting PE in C...
Multi-component metabolite electrochemical detection and analysis based on machine learning.
Analytical methods : advancing methods and applications
Jul 7, 2025
Metabolic molecules are highly correlated with various physiological indicators and diseases, so it is particularly important to monitor the levels of multiple metabolites in the body. Due to the similar electrochemical properties of uric acid (UA), ...
FusionMVSA: Multi-View Fusion Strategy with Self-Attention for Enhancing Drug Recommendation.
IEEE journal of biomedical and health informatics
Jul 7, 2025
Leveraging the wealth of biomedical data available, we can derive insights into the relationships between biological entities from various angles. This underscores the complexity and significance of developing a dynamic approach for integrating data ...
External Validation on a Japanese Cohort of a Computer-Aided Diagnosis System Aimed at Characterizing ISUP ≥ 2 Prostate Cancers at Multiparametric MRI.
International journal of urology : official journal of the Japanese Urological Association
Jul 7, 2025
OBJECTIVE: To evaluate the generalizability of a computer-aided diagnosis (CADx) system based on the apparent diffusion coefficient (ADC) and wash-in rate, and trained on a French population to diagnose International Society of Urological Pathology ≥...
A latent variable deep generative model for 3D anterior tooth shape.
Journal of prosthodontics : official journal of the American College of Prosthodontists
Jul 7, 2025
PURPOSE: To introduce a 3D generative technology, PointFlow, which can generate 3D tooth shapes that integrate with conventional digital design workflows, and to evaluate its clinical applicability for tooth reconstruction.
Development and validation of an improved volumetric breast density estimation model using the ResNet technique.
Biomedical physics & engineering express
Jul 7, 2025
Temporal changes in volumetric breast density (VBD) may serve as prognostic biomarkers for predicting the risk of future breast cancer development. However, accurately measuring VBD from archived X-ray mammograms remains challenging. In a previo...
A semi supervised framework for human and machine collaboration in computer assisted text refinement.
Scientific reports
Jul 7, 2025
Human writing often exhibits a range of styles and levels of sophistication. However, automated text generation systems typically lack the nuanced understanding required to produce refined and elegant prose. Due to the inherent one-to-many relationsh...
PolSAR image classification using shallow to deep feature fusion network with complex valued attention.
Scientific reports
Jul 7, 2025
Polarimetric Synthetic Aperture Radar (PolSAR) images encompass valuable information that can facilitate extensive land cover interpretation and generate diverse output products. Extracting meaningful features from PolSAR data poses challenges distin...
Hear-Your-Click: Interactive Video-to-Audio Generation via Object-aware Contrastive Audio-Visual Fine-tuning
arXiv
Jul 7, 2025
Video-to-audio (V2A) generation shows great potential in fields such as film
production. Despite significant advances, current V2A methods, which rely on
global video information, struggle with complex scenes and often fail to
generate audio tailor...
Deep learning method for cucumber disease detection in complex environments for new agricultural productivity.
BMC plant biology
Jul 7, 2025
Cucumber disease detection under complex agricultural conditions faces significant challenges due to multi-scale variation, background clutter, and hardware limitations. This study proposes YOLO-Cucumber, an improved lightweight detection algorithm b...
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