Artificial Intelligence Medical Compendium

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

Showing 22,701 to 22,710 of 216,842 articles

A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability

arXiv May 5, 2026
In recent years, machine learning has made significant progress in clinical outcome prediction, demonstrating increasingly accurate results. However, the substantial resources required for hospitals to train these models, such as data collection, lab... read more 
Machine Learning

Conditions for well-posed color recovery in scattering media

arXiv May 5, 2026
Recovering scene color from images captured in scattering media is a fundamental inverse problem in optical imaging. Yet the problem is intrinsically ill-posed as multiple solutions can explain the same observation, and prediction error cannot be con... read more 
Computer Vision and Pattern Recognition

Complex Equation Learner: Rational Symbolic Regression with Gradient Descent in Complex Domain

arXiv May 5, 2026
Symbolic regression aims to discover interpretable equations from data, yet modern gradient-based methods fail for operators that introduce singularities or domain constraints, including division, logarithms, and square roots. As a result, Equation L... read more 
Machine Learning

Memory-Efficient Continual Learning with CLIP Models

arXiv May 5, 2026
Contrastive Language-Image Pretraining (CLIP) models excel at understanding image-text relationships but struggle with adapting to new data without forgetting prior knowledge. To address this, models are typically fine-tuned using both new task data ... read more 
Machine Learning

Raising the Ceiling: Better Empirical Fixation Densities for Saliency Benchmarking

arXiv May 5, 2026
Empirical fixation densities, spatial distributions estimated from human eye-tracking data, are foundational to saliency benchmarking. They directly shape benchmark conclusions, leaderboard rankings, failure case analyses, and scientific claims about... read more 
Computer Vision and Pattern Recognition cs.LG

From Data Lifting to Continuous Risk Estimation: A Process-Aware Pipeline for Predictive Monitoring of Clinical Pathways

arXiv May 5, 2026
This paper presents a reproducible and process-aware pipeline for predictive monitoring of clinical pathways. The approach integrates data lifting, temporal reconstruction, event log construction, prefix-based representations, and predictive modeling... read more 
Machine Learning cs.SE

Robustness and Transferability of Pix2Geomodel for Bidirectional Facies Property Translation in a Complex Reservoir

arXiv May 5, 2026
Reservoir geomodeling is central to subsurface characterization, but it remains challenging because conditioning data are sparse, geological heterogeneity is strong, and conventional geostatistical workflows often struggle to capture nonlinear relati... read more 
Geophysics cs.CC cs.CV physics.comp-ph

Towards Open World Sound Event Detection

arXiv May 5, 2026
Sound Event Detection (SED) plays a vital role in audio understanding, with applications in surveillance, smart cities, healthcare, and multimedia indexing. However, conventional SED systems operate under a closed-world assumption, limiting their eff... read more 
Sound cs.AI

Reservoir property image slices from the Groningen gas field for image translation and segmentation

arXiv May 5, 2026
Reservoir characterization workflows increasingly rely on image-based and machine-learning/deep learning or even generative AI approaches, but openly available geological image datasets suitable for reproducible benchmarking remain limited. Here we d... read more 
Computer Vision and Pattern Recognition cs.DB physics.geo-ph

UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning

arXiv May 5, 2026
Although recent LMMs have become much stronger at visual perception, they remain unreliable on problems that require multi-step reasoning over visual evidence. In this paper, we present UnAC (Understanding, Abstracting, and Checking), a multimodal pr... read more 
Computer Vision and Pattern Recognition
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