Artificial Intelligence Medical Compendium

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

Showing 17,321 to 17,330 of 213,726 articles

Error-Decomposed Class-Conditional Fusion for Statistically Guaranteed Hard-Category Robust Perception

arXiv May 17, 2026
Aggregate object detection metrics inherently mask catastrophic and repeatable failures in operationally critical, long-tail minority classes. This paper formally defines this pervasive vulnerability as the Hard-Category Reliability Problem (HCRP): t... read more 
Computer Vision and Pattern Recognition

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment

arXiv May 17, 2026
Aligning Text-to-Image (T2I) generation models with human preferences increasingly relies on image reward models that score or rank generated images according to prompt alignment and perceptual quality. Existing reward models are commonly trained as ... read more 
Artificial Intelligence cs.CV cs.LG

SafeLens: Deliberate and Efficient Video Guardrails with Fast-and-Slow Screening

arXiv May 17, 2026
The rapid growth of online video platforms and AI-generated content has made reliable video guardrails a key challenge for safety and real-world deployment. While most videos can be screened through fast pattern recognition, a small subset requires d... read more 
Computer Vision and Pattern Recognition cs.CL

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation

arXiv May 17, 2026
Here's a trimmed version under 1920 characters: Open-vocabulary segmentation models such as SAM3 achieve strong performance through concept-level text prompting, yet degrade when the target class is visually underrepresented in pretraining data or ... read more 
Computer Vision and Pattern Recognition

SparseSAM: Structured Sparsification of Activations in Segment Anything Models

arXiv May 17, 2026
The Segment Anything Model (SAM) achieves strong open-vocabulary segmentation, but its ViT-based image encoders dominate inference latency and memory. Existing activation compression methods, such as token merging, reduce the token length to process,... read more 
Computer Vision and Pattern Recognition cs.AI

ML-based Fast Simulation of FARICH Responses

arXiv May 17, 2026
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning... read more 
High Energy Physics - Experiment cs.LG

TouchMap-OR: Multi-View 3D Mapping of Hand-Surface Contacts

arXiv May 17, 2026
Hand-surface interactions between clinicians, patients, and medical equipment play a central role in pathogen transmission during medical procedures. However, these interactions remain largely unobserved, as current infection-prevention practices rel... read more 
Computer Vision and Pattern Recognition

When a Zero-Shooter Cheats: Improving Age Estimation via Activation Steering

arXiv May 17, 2026
Different age-related regulations have been proposed to protect minors from harmful content and interactions online. Automated age estimation is central to enforcing such regulations, and vision-language models (VLMs) achieve state-of-the-art perform... read more 
Machine Learning

Bug or Feature$^2$: Weight Drift, Activation Sparsity, and Spikes

arXiv May 17, 2026
The design of modern neural architectures has converged through incremental empirical choices, yet the mechanisms governing their training dynamics remain only partially understood. We identify and analyze a negative weight drift induced by the inter... read more 
Machine Learning

Deep learning-based compression of giga-resolution whole slide images

arXiv May 17, 2026
Implementation of digital pathology leads to an increased number of whole slide images (WSIs). The large size of WSIs is challenging. Today, WSIs are compressed with codecs like JPEG resulting in several gigabytes per WSI, and large amounts of space ... read more 
Computer Vision and Pattern Recognition
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