Artificial Intelligence Medical Compendium

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

Showing 1,591 to 1,600 of 163,957 articles

AEDR: Training-Free AI-Generated Image Attribution via Autoencoder Double-Reconstruction

arXiv
The rapid advancement of image-generation technologies has made it possible for anyone to create photorealistic images using generative models, raising significant security concerns. To mitigate malicious use, tracing the origin of such images is e... read more 

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 

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 

Foundation Model-Driven Grasping of Unknown Objects via Center of Gravity Estimation

arXiv
This study presents a grasping method for objects with uneven mass distribution by leveraging diffusion models to localize the center of gravity (CoG) on unknown objects. In robotic grasping, CoG deviation often leads to postural instability, where... read more 

Towards Domain Specification of Embedding Models in Medicine

arXiv
Medical text embedding models are foundational to a wide array of healthcare applications, ranging from clinical decision support and biomedical information retrieval to medical question answering, yet they remain hampered by two critical shortcomi... read more 

Large language models provide unsafe answers to patient-posed medical questions

arXiv
Millions of patients are already using large language model (LLM) chatbots for medical advice on a regular basis, raising patient safety concerns. This physician-led red-teaming study compares the safety of four publicly available chatbots--Claude ... read more 

AI-enhanced recognition of occlusions in acute coronary syndrome (AERO-ACS): a retrospective study.

Coronary artery disease
BACKGROUND: Artificial intelligence (AI) augmentation of ECG assessment has significant potential to improve patient outcomes in acute coronary syndrome. read more 

Virtual local area network over HTTP for launching an insider attack

arXiv
Computers and computer networks have become integral to virtually every aspect of modern life, with the Internet playing an indispensable role. Organizations, businesses, and individuals now store vast amounts of proprietary, confidential, and pers... read more 

PKAG-DDI: Pairwise Knowledge-Augmented Language Model for Drug-Drug Interaction Event Text Generation

arXiv
Drug-drug interactions (DDIs) arise when multiple drugs are administered concurrently. Accurately predicting the specific mechanisms underlying DDIs (named DDI events or DDIEs) is critical for the safe clinical use of drugs. DDIEs are typically rep... read more 

A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation

arXiv
In multi-center scenarios, One-Shot Federated Learning (OSFL) has attracted increasing attention due to its low communication overhead, requiring only a single round of transmission. However, existing generative model-based OSFL methods suffer from... read more