Artificial Intelligence Medical Compendium

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

Showing 42,171 to 42,180 of 223,853 articles

Rethinking VLMs for Image Forgery Detection and Localization

arXiv Mar 13, 2026
With the rapid rise of Artificial Intelligence Generated Content (AIGC), image manipulation has become increasingly accessible, posing significant challenges for image forgery detection and localization (IFDL). In this paper, we study how to fully le... read more 
Computer Vision and Pattern Recognition cs.LG

Reinforcing the Weakest Links: Modernizing SIENA with Targeted Deep Learning Integration

arXiv Mar 13, 2026
Percentage Brain Volume Change (PBVC) derived from Magnetic Resonance Imaging (MRI) is a widely used biomarker of brain atrophy, with SIENA among the most established methods for its estimation. However, SIENA relies on classical image processing ste... read more 
Image and Video Processing cs.CV

Fair Lung Disease Diagnosis from Chest CT via Gender-Adversarial Attention Multiple Instance Learning

arXiv Mar 13, 2026
We present a fairness-aware framework for multi-class lung disease diagnosis from chest CT volumes, developed for the Fair Disease Diagnosis Challenge at the PHAROS-AIF-MIH Workshop (CVPR 2026). The challenge requires classifying CT scans into four c... read more 
Computer Vision and Pattern Recognition cs.AI

Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis

arXiv Mar 13, 2026
Statistically consistent methods based on the noise transition matrix ($T$) offer a theoretically grounded solution to Learning with Noisy Labels (LNL), with guarantees of convergence to the optimal clean-data classifier. In practice, however, these ... read more 
Machine Learning cs.CV

A Closed-Form Solution for Debiasing Vision-Language Models with Utility Guarantees Across Modalities and Tasks

arXiv Mar 13, 2026
While Vision-Language Models (VLMs) have achieved remarkable performance across diverse downstream tasks, recent studies have shown that they can inherit social biases from the training data and further propagate them into downstream applications. To... read more 
Computer Vision and Pattern Recognition

Accelerating Stroke MRI with Diffusion Probabilistic Models through Large-Scale Pre-training and Target-Specific Fine-Tuning

arXiv Mar 13, 2026
Purpose: To develop a data-efficient strategy for accelerated MRI reconstruction with Diffusion Probabilistic Generative Models (DPMs) that enables faster scan times in clinical stroke MRI when only limited fully-sampled data samples are available. ... read more 
Image and Video Processing cs.CV cs.LG physics.med-ph

SortScrews: A Dataset and Baseline for Real-time Screw Classification

arXiv Mar 13, 2026
Automatic identification of screw types is important for industrial automation, robotics, and inventory management. However, publicly available datasets for screw classification are scarce, particularly for controlled single-object scenarios commonly... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Multimodal OCR: Parse Anything from Documents

arXiv Mar 13, 2026
We present Multimodal OCR (MOCR), a document parsing paradigm that jointly parses text and graphics into unified textual representations. Unlike conventional OCR systems that focus on text recognition and leave graphical regions as cropped pixels, ou... read more 
Computer Vision and Pattern Recognition

Are General-Purpose Vision Models All We Need for 2D Medical Image Segmentation? A Cross-Dataset Empirical Study

arXiv Mar 13, 2026
Medical image segmentation (MIS) is a fundamental component of computer-assisted diagnosis and clinical decision support systems. Over the past decade, numerous architectures specifically tailored to medical imaging have emerged to address domain-spe... read more 
Computer Vision and Pattern Recognition cs.AI

Causal Cellular Context Transfer Learning (C3TL): An Efficient Architecture for Prediction of Unseen Perturbation Effects

arXiv Mar 13, 2026
Predicting the effects of chemical and genetic perturbations on quantitative cell states is a central challenge in computational biology, molecular medicine and drug discovery. Recent work has leveraged large-scale single-cell data and massive founda... read more 
Machine Learning q-bio.QM
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