Artificial Intelligence Medical Compendium

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

Showing 1,821 to 1,830 of 213,633 articles

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection

arXiv Jul 16, 2026
AI-generated videos (AIGVs) typically contain subtle temporal artifacts that arise from inter-frame inconsistencies rather than within individual frames. A detector that captures such artifacts should therefore benefit from video pretrained backbones... read more 
Computer Vision and Pattern Recognition

Lazy Arithmetic using Systolic Arrays for Closing the Verification Gap on Embedded Systems

arXiv Jul 16, 2026
Complex algorithms such as deep neural networks are increasingly being deployed on embedded, resource constrained platforms. However, existing hardware and software schemes for implementing these models on the edge fall short, particularly for safety... read more 
Cryptography and Security cs.AI cs.AR

A Transportable Threshold-Based Framework for Interpretable Classification of Medical Data

arXiv Jul 16, 2026
Black-box models limit the adoption of artificial intelligence in medicine due to their lack of interpretability and reproducibility. We introduce a statistically grounded framework that provides fully interpretable, rule-based clinical classificatio... read more 
Machine Learning

GS-RealBlur: A Flexible Data Acquisition Framework for Real-World Image Deblurring

arXiv Jul 16, 2026
High-quality, large-scale paired data is essential for training learning-based image deblurring models. However, synthetic blurry images generally lack realism, while real-world captured images require complex and inflexible camera systems. In this w... read more 
Computer Vision and Pattern Recognition

Explicit Over Implicit: Enhancing CNNs Via Complex Structure Tensor Representations for Periocular Recognition

arXiv Jul 16, 2026
Our study provides evidence that CNNs struggle to extract orientation features effectively. We show that using the Complex Structure Tensor, which contains compact orientation features with certainties, as input to CNNs consistently improves identifi... read more 
Computer Vision and Pattern Recognition

Dataset-Origin Signatures and Shortcut Learning in Screening Mammography AI: A Cross-Dataset Case Study

arXiv Jul 16, 2026
Reliable AI for screening mammography requires training data representative of the low cancer prevalence and subtle abnormalities found in screening populations. We examined whether supplementing such data with biopsy-confirmed cases from abnormal-en... read more 
Computer Vision and Pattern Recognition

DrawingVQA: A Real-World Benchmark for Multi-Depth Visual-Textual Reasoning on Construction Drawings

arXiv Jul 16, 2026
We introduce DrawingVQA, the first benchmark designed to evaluate multimodal large language models (MLLMs) on real-world construction drawings -- a core media in architecture, civil, and many other engineering practices. Unlike natural images or sche... read more 
Artificial Intelligence cs.CV

qZACH-ViT: Quantization-Aware Intrinsic Explanations with Recursive Attribution-Stabilized Optimization

arXiv Jul 16, 2026
Compact medical-image classifiers need efficiency and interpretable evidence, yet these goals are often addressed separately. We introduce qZACH-ViT, a quantization-aware extension of the zero-token (CLS-token-free), position-free ZACH-ViT backbone w... read more 
Machine Learning cs.CV

Who Became Financially Vulnerable After COVID-19? A Population-Level Machine Learning Analysis Using MEPS Data

arXiv Jul 16, 2026
The cost of healthcare remains a concern in the United States and may have been influenced by disruptions associated with the COVID-19 pandemic. This study examines healthcare financial vulnerability before and after the pandemic using Medical Expend... read more 
Machine Learning

LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models

arXiv Jul 16, 2026
Recent research in clinical machine learning, focusing on outcome predictions in intensive care unit (ICU), has shifted from bespoke supervised models to foundation models, utilising modern representation learning methods. Here, foundation models are... read more 
Machine Learning
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