Latest AI and machine learning research in critical care for healthcare professionals.
Burst suppression (BS) is a clinically relevant electroencephalographic (EEG) pattern used to monito...
Accurately estimating treatment effects in time series is essential for evaluating interventions in ...
Delirium is a common and serious complication in the Intensive Care Unit (ICU), associated with incr...
Involving end-users in the development of an AI tool is an important facilitator to its implementati...
Generating adversarial driving scenarios is critical for evaluating and improving autonomous vehicle...
AI systems deployed in legal workflows hallucinate at rates that aggregate metrics report at ~52%, b...
Four-dimensional computed tomography (4DCT) captures the full respiratory cycle of thoracic anatomy,...
Aim: The global population of older adults is growing, and older age is linked to higher bleeding ri...
The increasing availability of portable ultrasound systems motivates exploration of novel approaches...
This study aims to explore the performance of the VAR model in comparison with mel-frequency cepstra...
In recent years, unified multimodal models (UMMs) have emerged to support both understanding and gen...
Diagnosing 802.11 packet captures requires expert protocol knowledge, is slow, inconsistent across e...
Photoplethysmography (PPG), a non-invasive measure of changes in blood volume, is widely used in bot...
Objective: To develop, calibrate, and interpret machine learning models for predicting in-hospital m...
Introduction: Regulated cell death (RCD) pathways profoundly influence tumor progression and immune ...
Background: Sepsis is a life-threatening condition in which delayed recognition and treatment are as...
Background: Clinical LLM benchmarks rarely test whether algorithmic rankings agree with expert clini...
Background: Multi-drug resistant Bacterial (MDRB) Infections in the intensive care units (ICUs) subs...
Understanding the effects of interventions is central to scientific progress, with randomized contro...
Early prediction of respiratory failure is critical for timely clinical intervention in intensive ca...
Objective: Survival analysis is central to medical prediction, yet large language models (LLMs) are ...