Artificial Intelligence Medical Compendium

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

Showing 60,511 to 60,520 of 228,072 articles

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

arXiv
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 

Towards Airborne Object Detection: A Deep Learning Analysis

arXiv
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 

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

arXiv
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 

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

arXiv
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 

SupScene: Learning Overlap-Aware Global Descriptor for Unconstrained SfM

arXiv
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 

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

arXiv
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 

Deep learning-based neurodevelopmental assessment in preterm infants

arXiv
Preterm infants (born between 28 and 37 weeks of gestation) face elevated risks of neurodevelopmental delays, making early identification crucial for timely intervention. While deep learning-based volumetric segmentation of brain MRI scans offers a p... read more 

Decoder Gradient Shields: A Family of Provable and High-Fidelity Methods Against Gradient-Based Box-Free Watermark Removal

arXiv
Box-free model watermarking has gained significant attention in deep neural network (DNN) intellectual property protection due to its model-agnostic nature and its ability to flexibly manage high-entropy image outputs from generative models. Typicall... read more 

A Constraint Programming Model for the Super-Agile Earth Observation Satellite Imaging Scheduling Problem

arXiv
As the dependence on satellite imaging continues to grow, modern satellites have become increasingly agile, with the new generation, namely super-agile Earth observation satellites (SAEOS), providing unprecedented imaging flexibility. The highly dyna... read more 

AVIR: Adaptive Visual In-Document Retrieval for Efficient Multi-Page Document Question Answering

arXiv
Multi-page Document Visual Question Answering (MP-DocVQA) remains challenging because long documents not only strain computational resources but also reduce the effectiveness of the attention mechanism in large vision-language models (LVLMs). We tack... read more