Artificial Intelligence Medical Compendium

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

Showing 1,581 to 1,590 of 163,957 articles

Uncovering multimorbidity patterns linked to disability in aging populations: A machine learning analysis.

Geriatrics & gerontology international
AIM: Multimorbidity and disability are prevalent in older adults, yet the relationship between specific multimorbidity patterns and disability is poorly understood. This study aimed to identify clinically significant multimorbidity patterns in older ... read more 

Technological folie à deux: Feedback Loops Between AI Chatbots and Mental Illness

arXiv
Artificial intelligence chatbots have achieved unprecedented adoption, with millions now using these systems for emotional support and companionship in contexts of widespread social isolation and capacity-constrained mental health services. While s... read more 

Fast Learning of Non-Cooperative Spacecraft 3D Models through Primitive Initialization

arXiv
The advent of novel view synthesis techniques such as NeRF and 3D Gaussian Splatting (3DGS) has enabled learning precise 3D models only from posed monocular images. Although these methods are attractive, they hold two major limitations that prevent... read more 

Perspective from a Higher Dimension: Can 3D Geometric Priors Help Visual Floorplan Localization?

arXiv
Since a building's floorplans are easily accessible, consistent over time, and inherently robust to changes in visual appearance, self-localization within the floorplan has attracted researchers' interest. However, since floorplans are minimalist r... read more 

Dual Path Learning -- learning from noise and context for medical image denoising

arXiv
Medical imaging plays a critical role in modern healthcare, enabling clinicians to accurately diagnose diseases and develop effective treatment plans. However, noise, often introduced by imaging devices, can degrade image quality, leading to misint... read more 

Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet

arXiv
Autonomous vehicles generate massive volumes of point cloud data, yet only a subset is relevant for specific tasks such as collision detection, traffic analysis, or congestion monitoring. Effectively querying this data is essential to enable target... read more 

TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling

arXiv
The modeling of genomic sequences presents unique challenges due to their length and structural complexity. Traditional sequence models struggle to capture long-range dependencies and biological features inherent in DNA. In this work, we propose Tr... read more 

GPUnion: Autonomous GPU Sharing on Campus

arXiv
A pronounced imbalance in GPU resources exists on campus, where some laboratories own underutilized servers while others lack the compute needed for AI research. GPU sharing can alleviate this disparity, while existing platforms typically rely on c... read more 

Artificial Intelligence-Enabled Short-Term Ambulatory Monitoring ECG during Sinus Rhythm for Prediction of Hidden Atrial Fibrillation.

Journal of cardiovascular electrophysiology
BACKGROUND: Screening of asymptomatic/occult atrial fibrillation (AF) remains challenging. This study aimed to use a deep learning model to predict hidden AF in patients who showed normal sinus rhythm (SR) during 24-h Holter monitoring. read more