Artificial Intelligence Medical Compendium

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

Showing 51,451 to 51,460 of 225,182 articles

Bootstrapping-based Regularisation for Reducing Individual Prediction Instability in Clinical Risk Prediction Models

arXiv Feb 11, 2026
Clinical prediction models are increasingly used to support patient care, yet many deep learning-based approaches remain unstable, as their predictions can vary substantially when trained on different samples from the same population. Such instabilit... read more 
Machine Learning cs.AI stat.ML

Can We Really Learn One Representation to Optimize All Rewards?

arXiv Feb 11, 2026
As machine learning has moved towards leveraging large models as priors for downstream tasks, the community has debated the right form of prior for solving reinforcement learning (RL) problems. If one were to try to prefetch as much computation as po... read more 
Machine Learning cs.AI cs.RO

Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation

arXiv Feb 11, 2026
Latent diffusion models excel at generating high-quality images but lose the benefits of end-to-end modeling. They discard information during image encoding, require a separately trained decoder, and model an auxiliary distribution to the raw data. I... read more 
Computer Vision and Pattern Recognition cs.LG

Surface impedance inference via neural fields and sparse acoustic data obtained by a compact array

arXiv Feb 11, 2026
Standardized laboratory characterizations for absorbing materials rely on idealized sound field assumptions, which deviate largely from real-life conditions. Consequently, \emph{in-situ} acoustic characterization has become essential for accurate dia... read more 
Sound cs.LG

Fighting MRI Anisotropy: Learning Multiple Cardiac Shapes From a Single Implicit Neural Representation

arXiv Feb 11, 2026
The anisotropic nature of short-axis (SAX) cardiovascular magnetic resonance imaging (CMRI) limits cardiac shape analysis. To address this, we propose to leverage near-isotropic, higher resolution computed tomography angiography (CTA) data of the hea... read more 
Computer Vision and Pattern Recognition cs.AI

Ctrl&Shift: High-Quality Geometry-Aware Object Manipulation in Visual Generation

arXiv Feb 11, 2026
Object-level manipulation, relocating or reorienting objects in images or videos while preserving scene realism, is central to film post-production, AR, and creative editing. Yet existing methods struggle to jointly achieve three core goals: backgrou... read more 
Computer Vision and Pattern Recognition

Enhanced Portable Ultra Low-Field Diffusion Tensor Imaging with Bayesian Artifact Correction and Deep Learning-Based Super-Resolution

arXiv Feb 11, 2026
Portable, ultra-low-field (ULF) magnetic resonance imaging has the potential to expand access to neuroimaging but currently suffers from coarse spatial and angular resolutions and low signal-to-noise ratios. Diffusion tensor imaging (DTI), a sequence... read more 
Computer Vision and Pattern Recognition cs.AI

Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification

arXiv Feb 11, 2026
Interpretable-by-design models are gaining traction in computer vision because they provide faithful explanations for their predictions. In image classification, these models typically recover human-interpretable concepts from an image and use them f... read more 
Machine Learning cs.CV

Lactylation-based machine algorithm combined with multi-omics analysis to predict prognosis in cervical cancer.

Oncology letters Feb 11, 2026
Although lactylation has been investigated in cancer biology, its mechanistic role in cervical cancer remains unclear. This study integrated RNA-sequencing data from TCGA, three GEO datasets, and single-cell data (GSE44001) to identify lactylation-as... read more 

Can atrial fibrillation ablation outcomes be properly predicted with electrocardiography and artificial intelligence?

European heart journal. Digital health Feb 11, 2026
AIMS: The success of ablation for atrial fibrillation (AF) varies, often leading to repeat ablation. Reliable prediction of repeat ablation remains challenging. This study aimed to investigate if AF ablation outcomes can be predicted with an electroc... read more 
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