Artificial Intelligence Medical Compendium

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

Showing 1,601 to 1,610 of 213,568 articles

Temporal dependency modeling of data inconsistencies in AI-driven ETL systems using graph-based embeddings.

Scientific reports Jul 17, 2026
The emergence of heterogeneous data sources, high-velocity data, and changing inconsistency patterns, including missing values, duplication, schema conflicts, and delayed updates, has made the provision of data consistency in AI-driven Extract, Trans... read more 

Application of machine learning decision tree based power switching control for a standalone PV system with grid support.

Scientific reports Jul 17, 2026
Ensuring reliable power delivery in standalone photovoltaic (PV) systems is challenging due to the intermittent nature of solar irradiance and dynamic load variations. Conventional switching control schemes often fail to maintain optimal performance ... read more 

A quantitative study on user interaction and brand perception of visual elements in social media advertising driven by deep learning.

Scientific reports Jul 17, 2026
This paper focuses on the field of sentiment analysis for social media advertisements, specifically investigating the quantitative impact of visual design elements-such as color saturation, layout complexity, and image type-on user engagement metrics... read more 

Interpretable diabetes risk prediction: a comparative study of tree-based algorithms using SHAP and LIME.

Scientific reports Jul 17, 2026
The global burden of diabetes mellitus continues to increase, particularly in low- and middle-income countries. Prior studies have explored the use of machine learning algorithms to predict the risk of this disease; however, evidence from Latin Ameri... read more 

SLAPBench: Benchmarking Multimodal Large Language Models for Four-Finger SLAP Fingerprint Verification

arXiv Jul 17, 2026
Four-finger SLAP fingerprints are flat live-scan impressions of the index, middle, ring, and little fingers of one hand, used for identity verification in border control and law enforcement. No benchmark has evaluated whether multimodal large languag... read more 
Computer Vision and Pattern Recognition cs.AI

Physics-aware Masked Diffusion-based Flood Simulation for Urban Fisheye Disaster Detection

arXiv Jul 17, 2026
Physical simulations that predict the behavior of urban disasters, such as climate-related flooding, play a crucial role in disaster prevention and the development of anomaly detection models. However, the severe shortage of flood data in real-world ... read more 
Computer Vision and Pattern Recognition

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models?

arXiv Jul 17, 2026
3D CT vision-language models (VLMs) classify abnormalities from text prompts in a zero-shot manner, enabling cross-institution deployment where labels are scarce and clinical tasks shift faster than supervised models can be retrained. A real CT scan,... read more 
Computer Vision and Pattern Recognition

Ask Twice, Look Twice: Prompt Echoing Resolves the Question-First Paradox in Vision-Language Models

arXiv Jul 17, 2026
Where should the question go in a vision-language model (VLM) prompt: before the image or after it? Intuition says before: knowing what is asked should tell the model where to look. Yet across visual question answering benchmarks, question-first prom... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG eess.IV

Physiological Prior-Driven Label Enhancement for Cross-Subject EEG Emotion Recognition

arXiv Jul 17, 2026
Electroencephalography (EEG)-based emotion recognition captures affective neural signals with high temporal precision, but cross-subject variability and label noise remain critical challenges to its practical healthcare deployment. Existing label-den... read more 
Human-Computer Interaction

Geometric Distillation from Rectified Stereo: Leveraging Epipolar Cues for Monocular Depth

arXiv Jul 17, 2026
Monocular depth foundation models have demonstrated remarkable generalization capabilities across diverse environments. However, they continue to struggle with metric depth estimation in diverse environments. This limitation stems from the inherent s... read more 
Computer Vision and Pattern Recognition
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