Latest AI and machine learning research in intensivists for healthcare professionals.
Piperacillin/tazobactam (PTZ) extended infusion (EI) is often used empirically in the intensive car...
Breast and ovarian cancers are the second and the fifth leading causes of cancer death among women. ...
Artificial neural networks are the main tools for data mining and were inspired by the human brain a...
Sepsis is a high-mortality disease that is infected by bacteria, but pathogens in individual patient...
PURPOSE: Acute respiratory distress syndrome (ARDS) is a serious respiratory condition with high mor...
Sepsis is the primary cause of burn-related mortality and morbidity. Traditional indicators of sepsi...
Complex neuropsychiatric diseases such as schizophrenia require drugs that can target multiple G pro...
BACKGROUND: Severe sepsis and septic shock are still the leading causes of death in Intensive Care U...
Humans live among other humans, not in isolation. Therefore, the ability to learn and behave in mult...
BACKGROUND AND OBJECTIVE: Identification of subgroups may be useful to understand the clinical chara...
OBJECTIVES: to present the nurses' experience with technological tools to support the early identifi...
PURPOSE: Needle-based procedures for diagnosing and treating prostate cancer, such as biopsy and bra...
BACKGROUND: Many mortality prediction models have been developed for patients in intensive care unit...
Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce...
In this work, we utilize a combination of free-text and structured data to build Acute Respiratory D...
Hospital acquired pneumonia (HAP) is the second most common nosocomial infection in the ICU and cost...
Human activity recognition (HAR) has become an increasingly popular application of machine learning ...
BACKGROUND: The timeliness of detection of a sepsis incidence in progress is a crucial factor in the...
OBJECTIVE: Epidural injection of local anaesthetics and intravenous opioid injection are two common ...
BACKGROUND This study aimed to use three modeling methods, logistic regression analysis, random fore...
Achieving glycemic control in critical care patients is of paramount importance, and has been linke...