Latest AI and machine learning research in intensivists for healthcare professionals.
Ordering a minimal subset of lab tests for patients in the intensive care unit (ICU) can be challe...
The rapid growth of healthcare data and advances in computational power have accelerated the adopt...
BACKGROUND: Sepsis, a complex inflammatory condition with high mortality rates, lacks effective trea...
Recent advances in the visual-language area have developed natural multi-modal large language mode...
In many applications, especially those involving prediction, models may yield near-optimal perform...
Background: The integration and analysis of multi-modal data are increasingly essential across var...
Since human and environmental factors interfere, captured polyp images usually suffer from issues ...
The emergence of medical generalist foundation models has revolutionized conventional task-specifi...
Magnetic Resonance Imaging (MRI) can be a stressful experience for pediatric patients due to the l...
Multi-task learning has garnered widespread attention in the industry due to its efficient data ut...
LLM jailbreaks are a widespread safety challenge. Given this problem has not yet been tractable, w...
Clinical case reports and discharge summaries may be the most complete and accurate summarization ...
While deep neural networks (DNNs) are widely used for prediction, inference on DNN-estimated subje...
The joint interpretation of multi-modal and multi-view fundus images is critical for retinopathy p...
Due to the success of CNN-based and Transformer-based models in various computer vision tasks, rec...
Self-report questionnaires have long been used to assess LLM personality traits, yet they fail to ...
While diffusion models excel at generating high-quality images, they often struggle with accurate ...
The integration of tool learning with Large Language Models (LLMs) has expanded their capabilities...
Unlocking the next generation of biotechnology and therapeutic innovation demands overcoming the i...
With more well-performing anomaly detection methods proposed, many of the single-view tasks have b...
BACKGROUND AND AIM: Intestinal ultrasound (IUS) potentially spares patients from repeated endoscopie...