Artificial Intelligence Medical Compendium

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

Showing 46,661 to 46,670 of 224,199 articles

VGG-T$^3$: Offline Feed-Forward 3D Reconstruction at Scale

arXiv Feb 26, 2026
We present a scalable 3D reconstruction model that addresses a critical limitation in offline feed-forward methods: their computational and memory requirements grow quadratically w.r.t. the number of input images. Our approach is built on the key ins... read more 
Computer Vision and Pattern Recognition

MediX-R1: Open Ended Medical Reinforcement Learning

arXiv Feb 26, 2026
We introduce MediX-R1, an open-ended Reinforcement Learning (RL) framework for medical multimodal large language models (MLLMs) that enables clinically grounded, free-form answers beyond multiple-choice formats. MediX-R1 fine-tunes a baseline vision-... read more 
Computer Vision and Pattern Recognition

Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG

arXiv Feb 26, 2026
Brain foundation models have achieved remarkable advances across a wide range of neuroscience tasks. However, most existing models are limited to a single functional modality, restricting their ability to exploit complementary spatiotemporal dynamics... read more 
Machine Learning cs.AI eess.SP q-bio.NC

DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Generation

arXiv Feb 26, 2026
Graphic layouts serve as an important and engaging medium for visual communication across different channels. While recent layout generation models have demonstrated impressive capabilities, they frequently fail to align with nuanced human aesthetic ... read more 
Computer Vision and Pattern Recognition cs.AI

Global Interpretability via Automated Preprocessing: A Framework Inspired by Psychiatric Questionnaires

arXiv Feb 26, 2026
Psychiatric questionnaires are highly context sensitive and often only weakly predict subsequent symptom severity, which makes the prognostic relationship difficult to learn. Although flexible nonlinear models can improve predictive accuracy, their l... read more 
Machine Learning q-bio.QM stat.ML

SGDC: Structurally-Guided Dynamic Convolution for Medical Image Segmentation

arXiv Feb 26, 2026
Spatially variant dynamic convolution provides a principled approach of integrating spatial adaptivity into deep neural networks. However, mainstream designs in medical segmentation commonly generate dynamic kernels through average pooling, which imp... read more 
Image and Video Processing cs.CV

Sample Size Calculations for Developing Clinical Prediction Models: Overview and pmsims R package

arXiv Feb 26, 2026
Background: Clinical prediction models are increasingly used to inform healthcare decisions, but determining the minimum sample size for their development remains a critical and unresolved challenge. Inadequate sample sizes can lead to overfitting, p... read more 
Machine Learning stat.AP stat.ME

SegReg: Latent Space Regularization for Improved Medical Image Segmentation

arXiv Feb 26, 2026
Medical image segmentation models are typically optimised with voxel-wise losses that constrain predictions only in the output space. This leaves latent feature representations largely unconstrained, potentially limiting generalisation. We propose {S... read more 
Image and Video Processing cs.AI cs.CV

V-MORALS: Visual Morse Graph-Aided Estimation of Regions of Attraction in a Learned Latent Space

arXiv Feb 26, 2026
Reachability analysis has become increasingly important in robotics to distinguish safe from unsafe states. Unfortunately, existing reachability and safety analysis methods often fall short, as they typically require known system dynamics or large da... read more 
Robotics cs.CV cs.LG

Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models

arXiv Feb 26, 2026
Foundation models pretrained on large-scale 3D medical imaging data face challenges when adapted to multiple downstream tasks under continual learning with limited labeled data. We address few-shot continual learning for 3D brain MRI by combining a f... read more 
Image and Video Processing cs.CV cs.LG
Popular Topics
Recent Journals