Artificial Intelligence Medical Compendium

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

Showing 41,641 to 41,650 of 223,853 articles

Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective Memory

arXiv Mar 16, 2026
Multi-modal Large Language Models (MLLMs) have achieved remarkable performance across a wide range of visual reasoning tasks, yet their vulnerability to safety risks remains a pressing concern. While prior research primarily focuses on jailbreak defe... read more 
Computer Vision and Pattern Recognition cs.CL cs.CR

Feed-forward Gaussian Registration for Head Avatar Creation and Editing

arXiv Mar 16, 2026
We present MATCH (Multi-view Avatars from Topologically Corresponding Heads), a multi-view Gaussian registration method for high-quality head avatar creation and editing. State-of-the-art multi-view head avatar methods require time-consuming head tra... read more 
Computer Vision and Pattern Recognition

Longitudinal Risk Prediction in Mammography with Privileged History Distillation

arXiv Mar 16, 2026
Breast cancer remains a leading cause of cancer-related mortality worldwide. Longitudinal mammography risk prediction models improve multi-year breast cancer risk prediction based on prior screening exams. However, in real-world clinical practice, lo... read more 
Machine Learning stat.AP

Conflict-Aware Multimodal Fusion for Ambivalence and Hesitancy Recognition

arXiv Mar 16, 2026
Ambivalence and hesitancy (A/H) are subtle affective states where a person shows conflicting signals through different channels -- saying one thing while their face or voice tells another story. Recognising these states automatically is valuable in c... read more 
Computer Vision and Pattern Recognition

Beyond the Embedding Bottleneck: Adaptive Retrieval-Augmented 3D CT Report Generation

arXiv Mar 16, 2026
Automated radiology report generation from 3D CT volumes often suffers from incomplete pathology coverage. We provide empirical evidence that this limitation stems from a representational bottleneck: contrastive 3D CT embeddings encode discriminative... read more 
Computer Vision and Pattern Recognition

Self-supervised Disentanglement of Disease Effects from Aging in 3D Medical Shapes

arXiv Mar 16, 2026
Disentangling pathological changes from physiological aging in 3D medical shapes is crucial for developing interpretable biomarkers and patient stratification. However, this separation is challenging when diagnosis labels are limited or unavailable, ... read more 
Computer Vision and Pattern Recognition cs.LG

EvoIQA - Explaining Image Distortions with Evolved White-Box Logic

arXiv Mar 16, 2026
Traditional Image Quality Assessment (IQA) metrics typically fall into one of two extremes: rigid, hand-crafted mathematical models or "black-box" deep learning architectures that completely lack interpretability. To bridge this gap, we propose EvoIQ... read more 
Computer Vision and Pattern Recognition cs.NE

AsgardBench - Evaluating Visually Grounded Interactive Planning Under Minimal Feedback

arXiv Mar 16, 2026
With AsgardBench we aim to evaluate visually grounded, high-level action sequence generation and interactive planning, focusing specifically on plan adaptation during execution based on visual observations rather than navigation or low-level manipula... read more 
Artificial Intelligence cs.CV cs.RO

Federated Learning for Privacy-Preserving Medical AI

arXiv Mar 16, 2026
This dissertation investigates privacy-preserving federated learning for Alzheimer's disease classification using three-dimensional MRI data from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Existing methodologies often suffer from unreali... read more 
Machine Learning cs.AI cs.CV

Evaluating Causal Discovery Algorithms for Path-Specific Fairness and Utility in Healthcare

arXiv Mar 16, 2026
Causal discovery in health data faces evaluation challenges when ground truth is unknown. We address this by collaborating with experts to construct proxy ground-truth graphs, establishing benchmarks for synthetic Alzheimer's disease and heart failur... read more 
Machine Learning cs.AI
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