Artificial Intelligence Medical Compendium

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

Showing 52,361 to 52,370 of 225,279 articles

All-in-One Conditioning for Text-to-Image Synthesis

arXiv Feb 9, 2026
Accurate interpretation and visual representation of complex prompts involving multiple objects, attributes, and spatial relationships is a critical challenge in text-to-image synthesis. Despite recent advancements in generating photorealistic output... read more 
Computer Vision and Pattern Recognition

Gradient Residual Connections

arXiv Feb 9, 2026
Existing work has linked properties of a function's gradient to the difficulty of function approximation. Motivated by these insights, we study how gradient information can be leveraged to improve neural network's ability to approximate high-frequenc... read more 
Machine Learning cs.AI

AI-Driven Cardiorespiratory Signal Processing: Separation, Clustering, and Anomaly Detection

arXiv Feb 9, 2026
This research applies artificial intelligence (AI) to separate, cluster, and analyze cardiorespiratory sounds. We recorded a new dataset (HLS-CMDS) and developed several AI models, including generative AI methods based on large language models (LLMs)... read more 
Signal Processing cs.SD eess.AS

VLM-UQBench: A Benchmark for Modality-Specific and Cross-Modality Uncertainties in Vision Language Models

arXiv Feb 9, 2026
Uncertainty quantification (UQ) is vital for ensuring that vision-language models (VLMs) behave safely and reliably. A central challenge is to localize uncertainty to its source, determining whether it arises from the image, the text, or misalignment... read more 
Computer Vision and Pattern Recognition

Barycentric alignment for instance-level comparison of neural representations

arXiv Feb 9, 2026
Comparing representations across neural networks is challenging because representations admit symmetries, such as arbitrary reordering of units or rotations of activation space, that obscure underlying equivalence between models. We introduce a baryc... read more 
Machine Learning

Beyond the Unit Hypersphere: Embedding Magnitude in Contrastive Learning

arXiv Feb 9, 2026
Cosine similarity is prevalent in contrastive learning, yet it makes an implicit assumption: embedding magnitude is noise. Prior work occasionally found dot product and cosine similarity comparable, but left unanswered WHAT information magnitude carr... read more 
Machine Learning cs.IR

Feature salience -- not task-informativeness -- drives machine learning model explanations

arXiv Feb 9, 2026
Explainable AI (XAI) promises to provide insight into machine learning models' decision processes, where one goal is to identify failures such as shortcut learning. This promise relies on the field's assumption that input features marked as important... read more 
Machine Learning

VLM-Guided Iterative Refinement for Surgical Image Segmentation with Foundation Models

arXiv Feb 9, 2026
Surgical image segmentation is essential for robot-assisted surgery and intraoperative guidance. However, existing methods are constrained to predefined categories, produce one-shot predictions without adaptive refinement, and lack mechanisms for cli... read more 
Computer Vision and Pattern Recognition cs.AI cs.MA

Rethinking Global Text Conditioning in Diffusion Transformers

arXiv Feb 9, 2026
Diffusion transformers typically incorporate textual information via attention layers and a modulation mechanism using a pooled text embedding. Nevertheless, recent approaches discard modulation-based text conditioning and rely exclusively on attenti... read more 
Computer Vision and Pattern Recognition

A Causal Machine Learning Framework for Treatment Personalization in Clinical Trials: Application to Ulcerative Colitis

arXiv Feb 9, 2026
Randomized controlled trials estimate average treatment effects, but treatment response heterogeneity motivates personalized approaches. A critical question is whether statistically detectable heterogeneity translates into improved treatment decision... read more 
Machine Learning stat.AP stat.ME
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