Latest AI and machine learning research in critical care for healthcare professionals.
INTRODUCTION: Medical device recalls are important to the practice of emergency medicine, as unsafe ...
Host-response-based diagnostics can improve the accuracy of diagnosing bacterial and viral infecti...
The control of Biomedical Systems in Physical Human-Robot Interaction (pHRI) plays a pivotal role ...
With the rapid advancement of remote sensing technology, high-resolution multi-modal imagery is no...
Off-policy policy evaluation (OPE) estimates the outcome of a new policy using historical data col...
This study proposes a novel lightweight neural network model leveraging features extracted from el...
Sora-like video generation models have achieved remarkable progress with a Multi-Modal Diffusion T...
Despite advances in neural rendering, due to the scarcity of high-quality 3D datasets and the inhe...
The collection of updated data on social contact patterns following the COVID-19 pandemic disrupti...
The emergence of Vision-Language Models (VLMs) is a significant advancement in integrating compute...
Although advances in brain surgery techniques have led to fewer postoperative complications requir...
Vision-language models (VLMs) have shown impressive abilities across a range of multi-modal tasks....
Mechanical Ventilation (MV) is a critical life-support intervention in intensive care units (ICUs)...
Visual Text-to-Speech (VTTS) aims to take the environmental image as the prompt to synthesize the ...
Hemodialysis patients who are on donor lists for kidney transplant may get misidentified, delaying...
Multi-modal object Re-IDentification (ReID) aims to retrieve specific objects by utilizing complem...
Multi-modal object Re-IDentification (ReID) aims to retrieve specific objects by combining complem...
As key elements within the central dogma, DNA, RNA, and proteins play crucial roles in maintaining...
Respiratory rate is a vital sign indicating various health conditions. Traditional contact-based m...
This study aims to understand the factors that resulted in under-five children's malnutrition from...
Large Language Models (LLM) are usually fine-tuned to participate in dyadic or two-party dialogues...