Latest AI and machine learning research in clinical trials for healthcare professionals.
Purpose To evaluate the performance of Physics-Informed Autoencoder (PIA), a self-supervised deep le...
Conflicting results from randomized trials regarding the efficacy of remdesivir for COVID-19 have be...
The advent of Large Language Models (LLMs) offers potential solutions to address problems such as ...
Traditional autonomous driving systems often struggle to integrate high-level reasoning with low-l...
Ensuring safety in autonomous systems with vision-based control remains a critical challenge due t...
Clinical cohort definition is crucial for patient recruitment and observational studies, yet trans...
Role-playing enables large language models (LLMs) to engage users in immersive and personalized in...
Foundation Models that are capable of processing and generating multi-modal data have transformed ...
Purpose: This study aims to develop and validate a method for synthesizing 3D nephrographic phase ...
Leading vision-language models (VLMs) are trained on general Internet content, overlooking scienti...
A major challenge to deploying cyber-physical systems with learning-enabled controllers is to ensu...
Large Vision-Language Models (LVLMs) have made significant strides in multimodal comprehension, th...
Background: Recruitment for cohorts involving complex liver diseases, such as hepatocellular carci...
Novel research aimed at text-to-image (T2I) generative AI safety often relies on publicly availabl...
Ensuring safety in autonomous driving systems remains a critical challenge, particularly in handli...
Ensuring the safety of large language models (LLMs) is critical as they are deployed in real-world...
Large Language Models (LLMs) have emerged as powerful tools for addressing modern challenges and e...
Despite recent advances in learning-based controllers for legged robots, deployments in human-cent...
Multimodal Large Language Models (MLLMs) have serious security vulnerabilities.While safety alignm...
This paper analyzes the safety of Large Language Models (LLMs) in interactions with children below...
As Multimodal Large Language Models (MLLMs) develop, their potential security issues have become i...