Artificial Intelligence Medical Compendium

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

Showing 38,211 to 38,220 of 223,469 articles

VolDiT: Controllable Volumetric Medical Image Synthesis with Diffusion Transformers

arXiv Mar 26, 2026
Diffusion models have become a leading approach for high-fidelity medical image synthesis. However, most existing methods for 3D medical image generation rely on convolutional U-Net backbones within latent diffusion frameworks. While effective, these... read more 
Computer Vision and Pattern Recognition

Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation

arXiv Mar 26, 2026
AI systems in healthcare research have shown potential to increase patient throughput and assist clinicians, yet progress is constrained by limited access to real patient data. To address this issue, we present a zero-shot, knowledge-guided framework... read more 
Machine Learning

CardioDiT: Latent Diffusion Transformers for 4D Cardiac MRI Synthesis

arXiv Mar 26, 2026
Latent diffusion models (LDMs) have recently achieved strong performance in 3D medical image synthesis. However, modalities like cine cardiac MRI (CMR), representing a temporally synchronized 3D volume across the cardiac cycle, add an additional dime... read more 
Computer Vision and Pattern Recognition

CIV-DG: Conditional Instrumental Variables for Domain Generalization in Medical Imaging

arXiv Mar 26, 2026
Cross-site generalizability in medical AI is fundamentally compromised by selection bias, a structural mechanism where patient demographics (e.g., age, severity) non-randomly dictate hospital assignment. Conventional Domain Generalization (DG) paradi... read more 
Computer Vision and Pattern Recognition cs.MM

SDD-YOLO: A Small-Target Detection Framework for Ground-to-Air Anti-UAV Surveillance with Edge-Efficient Deployment

arXiv Mar 26, 2026
Detecting small unmanned aerial vehicles (UAVs) from a ground-to-air (G2A) perspective presents significant challenges, including extremely low pixel occupancy, cluttered aerial backgrounds, and strict real-time constraints. Existing YOLO-based detec... read more 
Computer Vision and Pattern Recognition

Gap Safe Screening Rules for Fast Training of Robust Support Vector Machines under Feature Noise

arXiv Mar 26, 2026
Robust Support Vector Machines (R-SVMs) address feature noise by adopting a worst-case robust formulation that explicitly incorporates uncertainty sets into training. While this robustness improves reliability, it also leads to increased computationa... read more 
Machine Learning math.OC

Training-free Detection and 6D Pose Estimation of Unseen Surgical Instruments

arXiv Mar 26, 2026
Purpose: Accurate detection and 6D pose estimation of surgical instruments are crucial for many computer-assisted interventions. However, supervised methods lack flexibility for new or unseen tools and require extensive annotated data. This work intr... read more 
Computer Vision and Pattern Recognition

An Image Dataset of Common Skin Diseases of Bangladesh and Benchmarking Performance with Machine Learning Models

arXiv Mar 26, 2026
Skin diseases are a major public health concern worldwide, and their detection is often challenging without access to dermatological expertise. In countries like Bangladesh, which is highly populated, the number of qualified skin specialists and diag... read more 
Computer Vision and Pattern Recognition cs.LG

Efficient Preemptive Robustification with Image Sharpening

arXiv Mar 26, 2026
Despite their great success, deep neural networks rely on high-dimensional, non-robust representations, making them vulnerable to imperceptible perturbations, even in transfer scenarios. To address this, both training-time defenses (e.g., adversarial... read more 
Computer Vision and Pattern Recognition

FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics

arXiv Mar 26, 2026
Spatial Transcriptomics (ST) provides spatially-resolved gene expression, offering crucial insights into tissue architecture and complex diseases. However, its prohibitive cost limits widespread adoption, leading to significant attention on inferring... read more 
Computer Vision and Pattern Recognition cs.AI
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