Latest AI and machine learning research in intensivists for healthcare professionals.
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...
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...
BACKGROUND AND AIM: Intestinal ultrasound (IUS) potentially spares patients from repeated endoscopie...
Chest X-ray radiographs (CXRs) play a pivotal role in diagnosing and monitoring cardiopulmonary di...
In critical care settings, timely and accurate predictions can significantly impact patient outcom...
False arrhythmia alarms in intensive care units (ICUs) are a significant challenge, contributing t...
Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity...
The fusion of Large Language Models with vision models is pioneering new possibilities in user-int...
Multi-modal time series analysis has recently emerged as a prominent research area in data mining,...
The widespread adoption of Large Language Models (LLMs) and LLM-powered agents in multi-user setti...
We developed and validated TRisk, a Transformer-based AI model predicting 36-month mortality in he...
The prediction of nanoparticles (NPs) distribution is crucial for the diagnosis and treatment of t...
This study reports the findings of qualitative interview sessions conducted with ICU clinicians fo...