Artificial Intelligence Medical Compendium

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

Showing 41,761 to 41,770 of 223,853 articles

Fair Benchmarking of Emerging One-Step Generative Models Against Multistep Diffusion and Flow Models

arXiv Mar 15, 2026
State-of-the-art text-to-image models produce high-quality images, but inference remains expensive as generation requires several sequential ODE or denoising steps. Native one-step models aim to reduce this cost by mapping noise to an image in a sing... read more 
Computer Vision and Pattern Recognition

Deep Learning From Routine Histology Improves Risk Stratification for Biochemical Recurrence in Prostate Cancer

arXiv Mar 15, 2026
Accurate prediction of biochemical recurrence (BCR) after radical prostatectomy is critical for guiding adjuvant treatment and surveillance decisions in prostate cancer. However, existing clinicopathological risk models reduce complex morphology to r... read more 
Computer Vision and Pattern Recognition

Joint Segmentation and Grading with Iterative Optimization for Multimodal Glaucoma Diagnosis

arXiv Mar 15, 2026
Accurate diagnosis of glaucoma is challenging, as early-stage changes are subtle and often lack clear structural or appearance cues. Most existing approaches rely on a single modality, such as fundus or optical coherence tomography (OCT), capturing o... read more 
Computer Vision and Pattern Recognition

Walking Further: Semantic-aware Multimodal Gait Recognition Under Long-Range Conditions

arXiv Mar 15, 2026
Gait recognition is an emerging biometric technology that enables non-intrusive and hard-to-spoof human identification. However, most existing methods are confined to short-range, unimodal settings and fail to generalize to long-range and cross-dista... read more 
Computer Vision and Pattern Recognition cs.AI

Efficient Federated Conformal Prediction with Group-Conditional Guarantee

arXiv Mar 15, 2026
Deploying trustworthy AI systems requires principled uncertainty quantification. Conformal prediction (CP) is a widely used framework for constructing prediction sets with distribution-free coverage guarantees. In many practical settings, including h... read more 
Machine Learning cs.AI stat.ML

DualTSR: Unified Dual-Diffusion Transformer for Scene Text Image Super-Resolution

arXiv Mar 15, 2026
Scene Text Image Super-Resolution (STISR) aims to restore high-resolution details in low-resolution text images, which is crucial for both human readability and machine recognition. Existing methods, however, often depend on external Optical Characte... read more 
Computer Vision and Pattern Recognition cs.AI

ChArtist: Generating Pictorial Charts with Unified Spatial and Subject Control

arXiv Mar 15, 2026
A pictorial chart is an effective medium for visual storytelling, seamlessly integrating visual elements with data charts. However, creating such images is challenging because the flexibility of visual elements often conflicts with the rigidity of ch... read more 
Computer Vision and Pattern Recognition cs.AI

UniFusion: A Unified Image Fusion Framework with Robust Representation and Source-Aware Preservation

arXiv Mar 15, 2026
Image fusion aims to integrate complementary information from multiple source images to produce a more informative and visually consistent representation, benefiting both human perception and downstream vision tasks. Despite recent progress, most exi... read more 
Computer Vision and Pattern Recognition cs.AI

FIND: A Simple yet Effective Baseline for Diffusion-Generated Image Detection

arXiv Mar 15, 2026
The remarkable realism of images generated by diffusion models poses critical detection challenges. Current methods utilize reconstruction error as a discriminative feature, exploiting the observation that real images exhibit higher reconstruction er... read more 
Computer Vision and Pattern Recognition

S2GS: Streaming Semantic Gaussian Splatting for Online Scene Understanding and Reconstruction

arXiv Mar 15, 2026
Existing offline feed-forward methods for joint scene understanding and reconstruction on long image streams often repeatedly perform global computation over an ever-growing set of past observations, causing runtime and GPU memory to increase rapidly... read more 
Computer Vision and Pattern Recognition
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