Artificial Intelligence Medical Compendium

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

Showing 55,351 to 55,360 of 226,647 articles

PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss

arXiv Feb 2, 2026
Pixel diffusion generates images directly in pixel space in an end-to-end manner, avoiding the artifacts and bottlenecks introduced by VAEs in two-stage latent diffusion. However, it is challenging to optimize high-dimensional pixel manifolds that co... read more 
Computer Vision and Pattern Recognition cs.AI

MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training

arXiv Feb 2, 2026
Clinical brain-to-text interfaces are designed for paralysed patients who cannot provide extensive training recordings. Pre-training improves data-efficient generalisation by learning statistical priors across subjects, but these priors critically de... read more 
Machine Learning q-bio.NC

Trustworthy Blockchain-based Federated Learning for Electronic Health Records: Securing Participant Identity with Decentralized Identifiers and Verifiable Credentials

arXiv Feb 2, 2026
The digitization of healthcare has generated massive volumes of Electronic Health Records (EHRs), offering unprecedented opportunities for training Artificial Intelligence (AI) models. However, stringent privacy regulations such as GDPR and HIPAA hav... read more 
Cryptography and Security cs.AI cs.LG

hSNMF: Hybrid Spatially Regularized NMF for Image-Derived Spatial Transcriptomics

arXiv Feb 2, 2026
High-resolution spatial transcriptomics platforms, such as Xenium, generate single-cell images that capture both molecular and spatial context, but their extremely high dimensionality poses major challenges for representation learning and clustering.... read more 
Machine Learning q-bio.QM

Perfusion Imaging and Single Material Reconstruction in Polychromatic Photon Counting CT

arXiv Feb 2, 2026
Background: Perfusion computed tomography (CT) images the dynamics of a contrast agent through the body over time, and is one of the highest X-ray dose scans in medical imaging. Recently, a theoretically justified reconstruction algorithm based on a ... read more 
Medical Physics cs.CV eess.IV

End-to-end reconstruction of OCT optical properties and speckle-reduced structural intensity via physics-based learning

arXiv Feb 2, 2026
Inverse scattering in optical coherence tomography (OCT) seeks to recover both structural images and intrinsic tissue optical properties, including refractive index, scattering coefficient, and anisotropy. This inverse problem is challenging due to a... read more 
Computer Vision and Pattern Recognition

Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion

arXiv Feb 2, 2026
We propose a hierarchical entity-centric framework for offline Goal-Conditioned Reinforcement Learning (GCRL) that combines subgoal decomposition with factored structure to solve long-horizon tasks in domains with multiple entities. Achieving long-ho... read more 
Machine Learning cs.CV cs.RO

Automated Dysphagia Screening Using Noninvasive Neck Acoustic Sensing

arXiv Feb 2, 2026
Pharyngeal health plays a vital role in essential human functions such as breathing, swallowing, and vocalization. Early detection of swallowing abnormalities, also known as dysphagia, is crucial for timely intervention. However, current diagnostic m... read more 
Machine Learning cs.SD eess.AS eess.SP

Predicting first-episode homelessness among US Veterans using longitudinal EHR data: time-varying models and social risk factors

arXiv Feb 2, 2026
Homelessness among US veterans remains a critical public health challenge, yet risk prediction offers a pathway for proactive intervention. In this retrospective prognostic study, we analyzed electronic health record (EHR) data from 4,276,403 Veteran... read more 
Computation and Language cs.AI

Physics-based generation of multilayer corneal OCT data via Gaussian modeling and MCML for AI-driven diagnostic and surgical guidance applications

arXiv Feb 2, 2026
Training deep learning models for corneal optical coherence tomography (OCT) imaging is limited by the availability of large, well-annotated datasets. We present a configurable Monte Carlo simulation framework that generates synthetic corneal B-scan ... read more 
Image and Video Processing cs.CV
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