Artificial Intelligence Medical Compendium

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

Showing 38,121 to 38,130 of 223,469 articles

Beyond MACs: Hardware Efficient Architecture Design for Vision Backbones

arXiv Mar 27, 2026
Vision backbone networks play a central role in modern computer vision. Enhancing their efficiency directly benefits a wide range of downstream applications. To measure efficiency, many publications rely on MACs (Multiply Accumulate operations) as a ... read more 
Computer Vision and Pattern Recognition cs.AI

Generation Is Compression: Zero-Shot Video Coding via Stochastic Rectified Flow

arXiv Mar 27, 2026
Existing generative video compression methods use generative models only as post-hoc reconstruction modules atop conventional codecs. We propose \emph{Generative Video Codec} (GVC), a zero-shot framework that turns a pretrained video generative model... read more 
Computer Vision and Pattern Recognition cs.AI

The Limits of Learning from Pictures and Text: Vision-Language Models and Embodied Scene Understanding

arXiv Mar 27, 2026
What information is sufficient to learn the full richness of human scene understanding? The distributional hypothesis holds that the statistical co-occurrence of language and images captures the conceptual knowledge underlying visual cognition. Visio... read more 
Computer Vision and Pattern Recognition

Evaluating Interactive 2D Visualization as a Sample Selection Strategy for Biomedical Time-Series Data Annotation

arXiv Mar 27, 2026
Reliable machine-learning models in biomedical settings depend on accurate labels, yet annotating biomedical time-series data remains challenging. Algorithmic sample selection may support annotation, but evidence from studies involving real human ann... read more 
Machine Learning cs.AI cs.HC

From Static to Dynamic: Exploring Self-supervised Image-to-Video Representation Transfer Learning

arXiv Mar 27, 2026
Recent studies have made notable progress in video representation learning by transferring image-pretrained models to video tasks, typically with complex temporal modules and video fine-tuning. However, fine-tuning heavy modules may compromise inter-... read more 
Computer Vision and Pattern Recognition

Think over Trajectories: Leveraging Video Generation to Reconstruct GPS Trajectories from Cellular Signaling

arXiv Mar 27, 2026
Mobile devices continuously interact with cellular base stations, generating massive volumes of signaling records that provide broad coverage for understanding human mobility. However, such records offer only coarse location cues (e.g., serving-cell ... read more 
Computer Vision and Pattern Recognition cs.AI

Make Geometry Matter for Spatial Reasoning

arXiv Mar 27, 2026
Empowered by large-scale training, vision-language models (VLMs) achieve strong image and video understanding, yet their ability to perform spatial reasoning in both static scenes and dynamic videos remains limited. Recent advances try to handle this... read more 
Computer Vision and Pattern Recognition cs.AI

Tunable Soft Equivariance with Guarantees

arXiv Mar 27, 2026
Equivariance is a fundamental property in computer vision models, yet strict equivariance is rarely satisfied in real-world data, which can limit a model's performance. Controlling the degree of equivariance is therefore desirable. We propose a gener... read more 
Computer Vision and Pattern Recognition cs.LG

Zero-Shot Depth from Defocus

arXiv Mar 27, 2026
Depth from Defocus (DfD) is the task of estimating a dense metric depth map from a focus stack. Unlike previous works overfitting to a certain dataset, this paper focuses on the challenging and practical setting of zero-shot generalization. We first ... read more 
Computer Vision and Pattern Recognition

Data Diversity vs. Model Complexity in the Prediction of Pediatric Bipolar Disorder: Evidence from Academic and Community Clinical Samples

medRxiv Mar 27, 2026
Pediatric bipolar disorder is challenging to diagnose accurately due to symptom heterogeneity. More standardized and data-driven approaches are needed to enhance diagnostic reliability. We evaluated a clinical decision tool (nomogram), statistical me... read more 
psychiatry and clinical psychology
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