Artificial Intelligence Medical Compendium

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

Showing 19,921 to 19,930 of 215,899 articles

Individual hearts: computational models for improved management of cardiovascular disease.

Heart (British Cardiac Society) May 12, 2026
Cardiovascular disease remains a leading cause of morbidity and mortality worldwide, with conventional management often applying standardised approaches that struggle to address individual variability in increasingly complex patient populations. Comp... read more 

SCRIPT: Stratified clinical risk prediction from pathology reports using large language models.

Journal of pathology informatics May 12, 2026
BACKGROUND: Accurate risk stratification in oncology is essential for guiding treatment decisions, yet current algorithms rely on a narrow set of structured variables, and hence potentially ignore the rich signal in narrative pathology reports. These... read more 

When artificial intelligence learns to abstain: towards clinically responsible diagnostic support in liver pathology.

Annals of oncology : official journal of the European Society for Medical Oncology May 12, 2026
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Comparing the Use of Measured and Smoothed Data in Forecasting Visual Field Tests Using Deep Learning.

Ophthalmology science May 12, 2026
OBJECTIVE: To evaluate the impact of training and testing deep learning (DL) models for visual field (VF) forecasting using input-target pairs in which the target is either the measured VF test result, or its smoothed counterpart constructed via line... read more 

RealDiffusion: Physics-informed Attention for Multi-character Storybook Generation

arXiv May 12, 2026
While modern diffusion models excel at generating diverse single images, extending this to sequential generation reveals a fundamental challenge: balancing narrative dynamism with multi-character coherence. Existing methods often falter at this trade... read more 
Computer Vision and Pattern Recognition

Multimodal Abstractive Summarization of Instructional Videos with Vision-Language Models

arXiv May 12, 2026
Multimodal video summarization requires visual features that align semantically with language generation. Traditional approaches rely on CNN features trained for object classification, which represent visual concepts as discrete categories not aligne... read more 
Computer Vision and Pattern Recognition cs.CL

Chronicles-OCR: A Cross-Temporal Perception Benchmark for the Evolutionary Trajectory of Chinese Characters

arXiv May 12, 2026
Vision Large Language Models (VLLMs) have achieved remarkable success in modern text-rich visual understanding. However, their perceptual robustness in the face of the continuous morphological evolution of historical writing systems remains largely u... read more 
Computer Vision and Pattern Recognition

What Does It Mean for a Medical AI System to Be Right?

arXiv May 12, 2026
This paper examines what it means for a medical AI system to be right by grounding the question in a specific clinical context: the automatic classification of plasma cells in digitized bone marrow smears for the diagnosis of multiple myeloma. Drawin... read more 
Computer Vision and Pattern Recognition

Optimizing 4D Wires for Sparse 3D Abstraction

arXiv May 12, 2026
We present a unified framework for 3D geometric abstraction using a single continuous 4D wire, parameterized as a B-spline with spatial coordinates and variable width $(x,y,z,w)$. Existing approaches typically represent shapes as collections of many ... read more 
Computer Vision and Pattern Recognition

A Transfer Learning Evaluation of Deep Neural Networks for Image Classification

arXiv May 12, 2026
Transfer learning is a machine learning technique that uses previously acquired knowledge from a source domain to enhance learning in a target domain by reusing learned weights. This technique is ubiquitous because of its great advantages in achievin... read more 
Computer Vision and Pattern Recognition cs.AI
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