Artificial Intelligence Medical Compendium

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

Showing 38,061 to 38,070 of 223,469 articles

AI-derived left-to-right cardiac chamber volume ratios in coronary artery calcium scans strongly predict heart failure.

European heart journal. Cardiovascular Imaging Mar 27, 2026
AIMS: The AI-CVD initiative seeks to extract actionable insights from coronary artery calcium (CAC) scans beyond the traditional CAC score. We previously demonstrated that AI-derived cardiac chamber volumes from CAC scans predict incident heart failu... read more 

Reappraising cardiac function with myocardial contraction fraction: normal values, disease detection, and prognostication.

European heart journal. Cardiovascular Imaging Mar 27, 2026
AIMS: Assessing cardiac function is critical for managing cardiovascular disease, guiding treatment, monitoring progression, and risk stratification. While left ventricular (LV) ejection fraction (LVEF) is firmly established, it has limitations. Myoc... read more 

Neighbor-Aware Localized Concept Erasure in Text-to-Image Diffusion Models

arXiv Mar 27, 2026
Concept erasure in text-to-image diffusion models seeks to remove undesired concepts while preserving overall generative capability. Localized erasure methods aim to restrict edits to the spatial region occupied by the target concept. However, we obs... read more 
Computer Vision and Pattern Recognition cs.CR

Longitudinal Boundary Sharpness Coefficient Slopes Predict Time to Alzheimer's Disease Conversion in Mild Cognitive Impairment: A Survival Analysis Using the ADNI Cohort

arXiv Mar 27, 2026
Predicting whether someone with mild cognitive impairment (MCI) will progress to Alzheimer's disease (AD) is crucial in the early stages of neurodegeneration. This uncertainty limits enrollment in clinical trials and delays urgent treatment. The Boun... read more 
Neurons and Cognition cs.AI cs.CV

FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants

arXiv Mar 27, 2026
While powerful in image-conditioned generation, multimodal large language models (MLLMs) can display uneven performance across demographic groups, highlighting fairness risks. In safety-critical clinical settings, such disparities risk producing uneq... read more 
Computer Vision and Pattern Recognition cs.AI

Cone-Beam CT Image Quality Enhancement Using A Latent Diffusion Model Trained with Simulated CBCT Artifacts

arXiv Mar 27, 2026
Cone-beam computed tomography (CBCT) images are problematic in clinical medicine because of their low contrast and high artifact content compared with conventional CT images. Although there are some studies to improve image quality, in regions subjec... read more 
Image and Video Processing cs.CV

VLAgeBench: Benchmarking Large Vision-Language Models for Zero-Shot Human Age Estimation

arXiv Mar 27, 2026
Human age estimation from facial images represents a challenging computer vision task with significant applications in biometrics, healthcare, and human-computer interaction. While traditional deep learning approaches require extensive labeled datase... read more 
Computer Vision and Pattern Recognition cs.AI

QuitoBench: A High-Quality Open Time Series Forecasting Benchmark

arXiv Mar 27, 2026
Time series forecasting is critical across finance, healthcare, and cloud computing, yet progress is constrained by a fundamental bottleneck: the scarcity of large-scale, high-quality benchmarks. To address this gap, we introduce \textsc{QuitoBench},... read more 
Machine Learning

Unlabeled Cross-Center Automatic Analysis for TAAD: An Integrated Framework from Segmentation to Clinical Features

arXiv Mar 27, 2026
Type A Aortic Dissection (TAAD) is a life-threatening cardiovascular emergency that demands rapid and precise preoperative evaluation. While key anatomical and pathological features are decisive for surgical planning, current research focuses predomi... read more 
Computer Vision and Pattern Recognition cs.AI

Learning to Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA

arXiv Mar 27, 2026
Medical Visual Question Answering (MedVQA) models often exhibit limited generalization due to reliance on dataset-specific correlations, such as recurring anatomical patterns or question-type regularities, rather than genuine diagnostic evidence. Exi... read more 
Computer Vision and Pattern Recognition
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