Artificial Intelligence Medical Compendium

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

Showing 34,751 to 34,760 of 221,633 articles

Counterfactual prediction of treatment effects on irregular clinical data using Time-Aware G-Transformers

medRxiv Apr 2, 2026
Selecting an effective treatment relies on accurately anticipating patient's response to alternative interventions. However, forecasting longitudinal clinical trajectories remains difficult because electronic health records contain heterogeneous, irr... read more 
health informatics

A Transformer-Based 2.5D Deep Learning Model for Preoperative Prediction of Lymph Node Metastasis in Papillary Thyroid Carcinoma

medRxiv Apr 2, 2026
Background: Accurate preoperative prediction of lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) remains challenging, particularly in clinically node-negative (cN0) patients, leading to potential overtreatment. We aimed to develop and... read more 
oncology

Can Video Diffusion Models Predict Past Frames? Bidirectional Cycle Consistency for Reversible Interpolation

arXiv Apr 2, 2026
Video frame interpolation aims to synthesize realistic intermediate frames between given endpoints while adhering to specific motion semantics. While recent generative models have improved visual fidelity, they predominantly operate in a unidirection... read more 
Computer Vision and Pattern Recognition cs.MM

End-to-End Shared Attention Estimation via Group Detection with Feedback Refinement

arXiv Apr 2, 2026
This paper proposes an end-to-end shared attention estimation method via group detection. Most previous methods estimate shared attention (SA) without detecting the actual group of people focusing on it, or assume that there is a single SA point in a... read more 
Computer Vision and Pattern Recognition

SteerFlow: Steering Rectified Flows for Faithful Inversion-Based Image Editing

arXiv Apr 2, 2026
Recent advances in flow-based generative models have enabled training-free, text-guided image editing by inverting an image into its latent noise and regenerating it under a new target conditional guidance. However, existing methods struggle to prese... read more 
Computer Vision and Pattern Recognition

LiteInception: A Lightweight and Interpretable Deep Learning Framework for General Aviation Fault Diagnosis

arXiv Apr 2, 2026
General aviation fault diagnosis and efficient maintenance are critical to flight safety; however, deploying deep learning models on resource-constrained edge devices poses dual challenges in computational capacity and interpretability. This paper pr... read more 
Artificial Intelligence cs.LG

MATA-Former & SIICU: Semantic Aware Temporal Alignment for High-Fidelity ICU Risk Prediction

arXiv Apr 2, 2026
Forecasting evolving clinical risks relies on intrinsic pathological dependencies rather than mere chronological proximity, yet current methods struggle with coarse binary supervision and physical timestamps. To align predictive modeling with clinica... read more 
Machine Learning

Setup-Independent Full Projector Compensation

arXiv Apr 2, 2026
Projector compensation seeks to correct geometric and photometric distortions that occur when images are projected onto nonplanar or textured surfaces. However, most existing methods are highly setup-dependent, requiring fine-tuning or retraining whe... read more 
Computer Vision and Pattern Recognition

Unifying UAV Cross-View Geo-Localization via 3D Geometric Perception

arXiv Apr 2, 2026
Cross-view geo-localization for Unmanned Aerial Vehicles (UAVs) operating in GNSS-denied environments remains challenging due to the severe geometric discrepancy between oblique UAV imagery and orthogonal satellite maps. Most existing methods address... read more 
Computer Vision and Pattern Recognition

Ultrasound-CLIP: Semantic-Aware Contrastive Pre-training for Ultrasound Image-Text Understanding

arXiv Apr 2, 2026
Ultrasound imaging is widely used in clinical diagnostics due to its real-time capability and radiation-free nature. However, existing vision-language pre-training models, such as CLIP, are primarily designed for other modalities, and are difficult t... read more 
Computer Vision and Pattern Recognition
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