Latest AI and machine learning research in critical care for healthcare professionals.
Computer-aided drug design has advanced rapidly in recent years, and multiple instances of in silico...
Machine learning (ML) has the potential to revolutionize healthcare, allowing healthcare providers t...
The incidence of COVID-19, a virus that is responsible for infections in the upper respiratory tract...
BACKGROUND: Vancomycin is a renally eliminated, nephrotoxic, glycopeptide antibiotic with a narrow t...
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) could ai...
OBJECTIVE: To address the challenge of assessing sedation status in critically ill patients in the i...
BACKGROUND: Early and reliable identification of patients with sepsis who are at high risk of mortal...
In the context of Industry 4.0, one of the most significant challenges is enhancing efficiency in se...
Osteoarthritis of the knee, a widespread cause of knee disability, is commonly treated in orthopedic...
BACKGROUND: Flow starvation is a type of patient-ventilator asynchrony that occurs when gas delivery...
In the fight against oral cancer, innovative methods like Raman spectroscopy and deep learning have ...
Using the CRISPR-Cas9 system to perform base substitutions at the target site is a typical technique...
Ovarian cancer (OC), known for its pronounced heterogeneity, has long evaded a unified classificatio...
A difficult airway is a situation in which an anesthesiologist with more than 5Â years of experience ...
The accuracy of traditional CT image segmentation algorithms is hindered by issues such as low contr...
Sex and chronological age estimation are crucial in forensic investigations and research on individu...
Neurostimulation and neural recording are crucial to develop neuroprostheses that can restore functi...
BACKGROUND: The coronavirus disease-2019 (COVID-19) pandemic, caused by severe acute respiratory syn...
Arterial stiffness is a non-traditional risk factor of cardiovascular disease and may explain part o...
It is important to determine the risk for admission to the intensive care unit (ICU) in patients wit...
The development of reliable mortality risk stratification models is an active research area in compu...