Latest AI and machine learning research in critical care for healthcare professionals.
Digital pathology platforms with integrated artificial intelligence have the potential to increase t...
BACKGROUND: Acute kidney injury is common in the surgical intensive care unit (ICU). It is associate...
BACKGROUND: For the clinical care of patients with well-established diseases, randomized trials, lit...
A complicated clinical course for critically ill patients admitted to the intensive care unit (ICU) ...
Infrared thermography for camera-based skin temperature measurement is increasingly used in medical ...
Thoracolaparoscopic esophagectomy (TLE) for carcinoma esophagus has better short-term outcomes compa...
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) h...
This study aimed to develop a machine learning algorithm to identify key clinical measures to triag...
Early detection of sepsis can be life-saving. Machine learning models have shown great promise in ea...
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers ...
Exponential growth of biomedical literature and clinical data demands more robust yet precise comput...
Sepsis, a dysregulated immune system response to infection, is among the leading causes of morbidity...
Synthesizing photo-realistic images based on text descriptions is a challenging task in the field of...
The prediction of hospital emergency room visits (ERV) for respiratory diseases after the outbreak o...
PURPOSE: Spinal lesion differential diagnosis remains challenging even in MRI. Radiomics and machine...
BACKGROUND: Predicting early respiratory failure due to COVID-19 can help triage patients to higher ...
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and the effective...
Land subsidence (LS) in arid and semi-arid areas, such as Iran, is a significant threat to sustainab...
The rampant spread of COVID-19, an infectious disease caused by SARS-CoV-2, all over the world has l...
BACKGROUND: Clinical risk scores and machine learning models based on routine laboratory values coul...
Accurate lesion segmentation based on endoscopy images is a fundamental task for the automated diagn...