Artificial Intelligence Medical Compendium

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

Showing 43,741 to 43,750 of 224,055 articles

FlowTouch: View-Invariant Visuo-Tactile Prediction

arXiv Mar 9, 2026
Tactile sensation is essential for contact-rich manipulation tasks. It provides direct feedback on object geometry, surface properties, and interaction forces, enhancing perception and enabling fine-grained control. An inherent limitation of tactile ... read more 
Robotics cs.LG

WaDi: Weight Direction-aware Distillation for One-step Image Synthesis

arXiv Mar 9, 2026
Despite the impressive performance of diffusion models such as Stable Diffusion (SD) in image generation, their slow inference limits practical deployment. Recent works accelerate inference by distilling multi-step diffusion into one-step generators.... read more 
Computer Vision and Pattern Recognition

Prototype-Guided Concept Erasure in Diffusion Models

arXiv Mar 9, 2026
Concept erasure is extensively utilized in image generation to prevent text-to-image models from generating undesired content. Existing methods can effectively erase narrow concepts that are specific and concrete, such as distinct intellectual proper... read more 
Computer Vision and Pattern Recognition

TA-RNN-Medical-Hybrid: A Time-Aware and Interpretable Framework for Mortality Risk Prediction

arXiv Mar 9, 2026
Accurate and interpretable mortality risk prediction in intensive care units (ICUs) remains a critical challenge due to the irregular temporal structure of electronic health records (EHRs), the complexity of longitudinal disease trajectories, and the... read more 
Machine Learning cs.AI cs.DC cs.ET

OSCAR: Occupancy-based Shape Completion via Acoustic Neural Implicit Representations

arXiv Mar 9, 2026
Accurate 3D reconstruction of vertebral anatomy from ultrasound is important for guiding minimally invasive spine interventions, but it remains challenging due to acoustic shadowing and view-dependent signal variations. We propose an occupancy-based ... read more 
Computer Vision and Pattern Recognition

Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation

arXiv Mar 9, 2026
Text-conditioned generative models for volumetric medical imaging provide semantic control but lack explicit anatomical guidance, often resulting in outputs that are spatially ambiguous or anatomically inconsistent. In contrast, structure-driven meth... read more 
Computer Vision and Pattern Recognition cs.AI

Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness

arXiv Mar 9, 2026
Vision Transformers (ViTs) often degrade under distribution shifts because they rely on spurious correlations, such as background cues, rather than semantically meaningful features. Existing regularization methods, typically relying on simple foregro... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Beyond Attention Heatmaps: How to Get Better Explanations for Multiple Instance Learning Models in Histopathology

arXiv Mar 9, 2026
Multiple instance learning (MIL) has enabled substantial progress in computational histopathology, where a large amount of patches from gigapixel whole slide images are aggregated into slide-level predictions. Heatmaps are widely used to validate MIL... read more 
Computer Vision and Pattern Recognition cs.LG

Amortized Phylodynamic Inference with Neural Bayes Estimators and Recursive Neural Networks

arXiv Mar 9, 2026
Phylodynamics is used to estimate epidemic dynamics from phylogenetic trees or genomic sequences of pathogens, but the likelihood calculations needed can be challenging for complex models. We present a neural Bayes estimator (NBE) for key epidemic qu... read more 
Methodology q-bio.QM

Local-Global Prompt Learning via Sparse Optimal Transport

arXiv Mar 9, 2026
Few-shot adaptation of vision-language models (VLMs) like CLIP typically relies on learning textual prompts matched to global image embeddings. Recent works extend this paradigm by incorporating local image-text alignment to capture fine-grained visu... read more 
Computer Vision and Pattern Recognition
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