Artificial Intelligence Medical Compendium

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

Showing 57,461 to 57,470 of 227,388 articles

Proof-of-Concept Automated Framework for Intraoperative Transesophageal Echocardiography: View Classification and Biventricular Function Assessment.

Journal of cardiothoracic and vascular anesthesia Jan 28, 2026
OBJECTIVE: To develop a proof-of-concept automated framework for integrated intraoperative transesophageal echocardiography (TEE) interpretation, encompassing view classification, left ventricular ejection fraction (LVEF) and right ventricular systol... read more 

A fully synthetic textual dataset of student learning habits and preferences generated using a large language model.

Data in brief Jan 28, 2026
Educational data mining and learning analytics have become important research areas for supporting pedagogical analysis, algorithm development, and privacy-preserving educational research. The advancement of natural language processing (NLP) methods ... read more 

Clinically aligned whole-body MRI segmentation of skeletal metastases via Supervised Anatomical Pretraining.

Journal of bone oncology Jan 28, 2026
In oncology practice, response assessment of metastatic disease requires reliable and reproducible quantification of measurable metastatic burden. Manual identification, segmentation, and volumetry of all lesions is labor-intensive and variable, limi... read more 

Incorporating softmax in psychophysical detection models for normal and electric hearing.

MethodsX Jan 28, 2026
Modeling psychophysical auditory detection has proven to be difficult, as with existing neural models and detection models, we were unable to adjust the slope of the psychometric curve accurately. In machine learning, the softmax function is an excel... read more 

MAPLE: Self-supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis

arXiv Jan 28, 2026
We present a new nonlinear dimensionality reduction method, MAPLE, that enhances UMAP by improving manifold modeling. MAPLE employs a self-supervised learning approach to more efficiently encode low-dimensional manifold geometry. Central to this appr... read more 
Machine Learning cs.HC

TeleStyle: Content-Preserving Style Transfer in Images and Videos

arXiv Jan 28, 2026
Content-preserving style transfer, generating stylized outputs based on content and style references, remains a significant challenge for Diffusion Transformers (DiTs) due to the inherent entanglement of content and style features in their internal r... read more 
Computer Vision and Pattern Recognition

Causal-Driven Feature Evaluation for Cross-Domain Image Classification

arXiv Jan 28, 2026
Out-of-distribution (OOD) generalization remains a fundamental challenge in real-world classification, where test distributions often differ substantially from training data. Most existing approaches pursue domain-invariant representations, implicitl... read more 
Machine Learning cs.AI

Automated Marine Biofouling Assessment: Benchmarking Computer Vision and Multimodal LLMs on the Level of Fouling Scale

arXiv Jan 28, 2026
Marine biofouling on vessel hulls poses major ecological, economic, and biosecurity risks. Traditional survey methods rely on diver inspections, which are hazardous and limited in scalability. This work investigates automated classification of biofou... read more 
Computer Vision and Pattern Recognition

DeRaDiff: Denoising Time Realignment of Diffusion Models

arXiv Jan 28, 2026
Recent advances align diffusion models with human preferences to increase aesthetic appeal and mitigate artifacts and biases. Such methods aim to maximize a conditional output distribution aligned with higher rewards whilst not drifting far from a pr... read more 
Machine Learning

DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment

arXiv Jan 28, 2026
Recent GRPO-based approaches built on flow matching models have shown remarkable improvements in human preference alignment for text-to-image generation. Nevertheless, they still suffer from the sparse reward problem: the terminal reward of the entir... read more 
Computer Vision and Pattern Recognition
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