Although artificial intelligence has already shown promise in cardiovascular medicine, most existing tools analyze only one ...

The field of orthopedic surgery has seen a significant influx of data from various sources such as clinical records, ...

From the earliest year of school, children begin learning how to express ideas in different ways. Lines across a page, a ...

California kids don't grow up understanding what it means when Kansas and Missouri lock horns on a football field. They don't inherit the generational hatred that stems from Civil War tensions. Not ...

Cervical cancer is a major public health concern that poses a significant threat to women's health. Standard concurrent chemoradiotherapy (CCRT) achieves disease-free survival (DFS) in approximately ...

State Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China The study leverages a multimodal machine learning ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

Abstract: The design of effective multimodal feature fusion strategies is the key task for multimodal learning, which often requires huge computational costs with extensive expertise. In this paper, ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Furthermore, stacking neural network approaches have exhibited ...

Background/aims This study evaluated the performance of artificial intelligence (AI) algorithms in predicting best-corrected visual acuity (BCVA) for patients with multiple retinal diseases, using ...

The repo is the official implementation of "Affordance-R1: Reinforcement Learning for Generalizable Affordance Reasoning in Multimodal Large Language Model". @article{wang2025affordance, ...