Artificial Intelligence Medical Compendium

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

Showing 40,411 to 40,420 of 223,737 articles

Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping

arXiv Mar 19, 2026
Sleep disturbances are tightly linked to cardiovascular risk, yet polysomnography (PSG)-the clinical reference standard-remains resource-intensive and poorly suited for multi-night, home-based, and large-scale screening. Single-lead electrocardiograp... read more 
Signal Processing cs.LG

Ontology-Guided Diffusion for Zero-Shot Visual Sim2Real Transfer

arXiv Mar 19, 2026
Bridging the simulation-to-reality (sim2real) gap remains challenging as labelled real-world data is scarce. Existing diffusion-based approaches rely on unstructured prompts or statistical alignment, which do not capture the structured factors that m... read more 
Computer Vision and Pattern Recognition cs.AI

ROFT-VINS: Robust Feature Tracking-based Visual-Inertial State Estimation for Harsh Environment

arXiv Mar 19, 2026
SLAM (Simultaneous Localization and Mapping) and Odometry are important systems for estimating the position of mobile devices, such as robots and cars, utilizing one or more sensors. Particularly in camera-based SLAM or Odometry, effectively tracking... read more 
Robotics

WeNLEX: Weakly Supervised Natural Language Explanations for Multilabel Chest X-ray Classification

arXiv Mar 19, 2026
Natural language explanations provide an inherently human-understandable way to explain black-box models, closely reflecting how radiologists convey their diagnoses in textual reports. Most works explicitly supervise the explanation generation proces... read more 
Computer Vision and Pattern Recognition cs.AI

DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection

arXiv Mar 19, 2026
Domain Adaptive Object Detection (DAOD) aims to transfer detectors from a labeled source domain to an unlabeled target domain. Existing DAOD methods employ multi-granularity feature alignment to learn domain-invariant representations. However, the lo... read more 
Computer Vision and Pattern Recognition

Automatic Configuration of LLM Post-Training Pipelines

arXiv Mar 19, 2026
LLM post-training pipelines that combine supervised fine-tuning and reinforcement learning are difficult to configure under realistic compute budgets: the configuration space is high-dimensional and heterogeneous, stages are strongly coupled, and eac... read more 
Machine Learning cs.AI

SEAR: Simple and Efficient Adaptation of Visual Geometric Transformers for RGB+Thermal 3D Reconstruction

arXiv Mar 19, 2026
Foundational feed-forward visual geometry models enable accurate and efficient camera pose estimation and scene reconstruction by learning strong scene priors from massive RGB datasets. However, their effectiveness drops when applied to mixed sensing... read more 
Computer Vision and Pattern Recognition

Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors

arXiv Mar 19, 2026
Recent progress in 3D generation has been driven largely by models conditioned on images or text, while readily available 3D priors are still underused. In many real-world scenarios, the visible-region point cloud are easy to obtain from active senso... read more 
Computer Vision and Pattern Recognition cs.AI

Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors

arXiv Mar 19, 2026
Recent progress in 3D generation has been driven largely by models conditioned on images or text, while readily available 3D priors are still underused. In many real-world scenarios, the visible-region point cloud are easy to obtain from active senso... read more 
Computer Vision and Pattern Recognition cs.AI

Rethinking Uncertainty Quantification and Entanglement in Image Segmentation

arXiv Mar 19, 2026
Uncertainty quantification (UQ) is crucial in safety-critical applications such as medical image segmentation. Total uncertainty is typically decomposed into data-related aleatoric uncertainty (AU) and model-related epistemic uncertainty (EU). Many m... read more 
Computer Vision and Pattern Recognition
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