Latest AI and machine learning research in critical care for healthcare professionals.
Distribution coefficient (K) and effective diffusion coefficient (D) are two critical parameters for...
Predicting post-Percutaneous Coronary Intervention (PCI) outcomes is crucial for effective patient m...
BACKGROUND: The incidence of delirium in patients with burns receiving treatment in the intensive ca...
In breast diagnostic imaging, the morphological variability of breast tumors and the inherent ambigu...
Epilepsy significantly impacts global health, affecting about 65 million people worldwide, along wit...
The healthcare industry, aided by technology, leverages the Internet of Things (IoT) paradigm to off...
INTRODUCTION: Large learning models (LLMs) such as GPT are advanced artificial intelligence (AI) mod...
BACKGROUND: Antimicrobial resistances pose significant challenges in health care systems. Clinical d...
Chronic respiratory diseases affect people worldwide, but conventional diagnostic methods may not be...
Heavy metal contamination in soil is a major environmental and public health concern, especially in ...
The accurate diagnosis of skin diseases is crucial for effective patient management and treatment, y...
BACKGROUND: Early and accurate confirmation of critically ill neonates with a suspected diagnosis of...
BACKGROUND: For preoxygenation, German guidelines consider non-invasive ventilation (NIV) as a possi...
BACKGROUND: Current prediction models are suboptimal for determining mortality risk in patients with...
BACKGROUND: Sepsis-induced coagulopathy (SIC) is a complex condition characterized by systemic infla...
OBJECTIVES: Multi-centre, multi-vendor validation of artificial intelligence (AI) software to detect...
Electroencephalogram (EEG) signals are time series data containing abundant brain information. Howev...
Automatically detecting sound events with Artificial Intelligence (AI) has become increas- ingly pop...
OBJECTIVES: To develop a machine learning-based software as a medical device to predict the enduranc...
Human Activity Recognition (HAR) plays a critical role in fields such as healthcare, sports, and hum...
OBJECTIVE: The study aimed to develop machine learning (ML) models to predict the mortality of patie...