Artificial Intelligence Medical Compendium

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

Showing 61,431 to 61,440 of 229,091 articles

Accelerated MR Elastography Using Learned Neural Network Representation

arXiv Jan 17, 2026
To develop a deep-learning method for achieving fast high-resolution MR elastography from highly undersampled data without the need of high-quality training dataset. We first framed the deep neural network representation as a nonlinear extension of t... read more 
Signal Processing cs.CV cs.LG q-bio.QM

Digital FAST: An AI-Driven Multimodal Framework for Rapid and Early Stroke Screening

arXiv Jan 17, 2026
Early identification of stroke symptoms is essential for enabling timely intervention and improving patient outcomes, particularly in prehospital settings. This study presents a fast, non-invasive multimodal deep learning framework for automatic bina... read more 
Computer Vision and Pattern Recognition

Task-tailored Pre-processing: Fair Downstream Supervised Learning

arXiv Jan 17, 2026
Fairness-aware machine learning has recently attracted various communities to mitigate discrimination against certain societal groups in data-driven tasks. For fair supervised learning, particularly in pre-processing, there have been two main categor... read more 
Machine Learning stat.ME stat.ML

RemoteVAR: Autoregressive Visual Modeling for Remote Sensing Change Detection

arXiv Jan 17, 2026
Remote sensing change detection aims to localize and characterize scene changes between two time points and is central to applications such as environmental monitoring and disaster assessment. Meanwhile, visual autoregressive models (VARs) have recen... read more 
Computer Vision and Pattern Recognition

LIBRA: Language Model Informed Bandit Recourse Algorithm for Personalized Treatment Planning

arXiv Jan 17, 2026
We introduce a unified framework that seamlessly integrates algorithmic recourse, contextual bandits, and large language models (LLMs) to support sequential decision-making in high-stakes settings such as personalized medicine. We first introduce the... read more 
Artificial Intelligence cs.LG math.ST

Towards Airborne Object Detection: A Deep Learning Analysis

arXiv Jan 17, 2026
The rapid proliferation of airborne platforms, including commercial aircraft, drones, and UAVs, has intensified the need for real-time, automated threat assessment systems. Current approaches depend heavily on manual monitoring, resulting in limited ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.SE

Reliable Deep Learning for Small-Scale Classifications: Experiments on Real-World Image Datasets from Bangladesh

arXiv Jan 17, 2026
Convolutional neural networks (CNNs) have achieved state-of-the-art performance in image recognition tasks but often involve complex architectures that may overfit on small datasets. In this study, we evaluate a compact CNN across five publicly avail... read more 
Computer Vision and Pattern Recognition

Effects of Gabor Filters on Classification Performance of CNNs Trained on a Limited Number of Conditions

arXiv Jan 17, 2026
In this study, we propose a technique to improve the accuracy and reduce the size of convolutional neural networks (CNNs) running on edge devices for real-world robot vision applications. CNNs running on edge devices must have a small architecture, a... read more 
Computer Vision and Pattern Recognition cs.LG

SupScene: Learning Overlap-Aware Global Descriptor for Unconstrained SfM

arXiv Jan 17, 2026
Image retrieval is a critical step for alleviating the quadratic complexity of image matching in unconstrained Structure-from-Motion (SfM). However, in this context, image retrieval typically focuses more on the image pairs of geometric matchability ... read more 
Computer Vision and Pattern Recognition

Language-Guided and Motion-Aware Gait Representation for Generalizable Recognition

arXiv Jan 17, 2026
Gait recognition is emerging as a promising technology and an innovative field within computer vision. However, existing methods typically rely on complex architectures to directly extract features from images and apply pooling operations to obtain s... read more 
Computer Vision and Pattern Recognition
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