Artificial intelligence has been advancing in fields including anesthesiology. This scoping
review of the intersection of artificial intelligence and anesthesia research identified and …

Electroencephalography (EEG) has been a staple method for identifying certain health
conditions in patients since its discovery. Due to the many different types of classifiers …

The rapid development of artificial intelligence (AI) technology is due to the significant
progress in big data, databases, algorithms, and computing power, and medical research is …

Cumin (Cuminum cyminum) and fennel (Foeniculum vulgare) are widely used seasonings
and play a very important role in industries such as breeding, cosmetics, winemaking, drug …

Accurate and noninvasive monitoring of the depth of anesthesia (DoA) is highly desirable.
Since the anesthetic drugs act mainly on the central nervous system, the analysis of brain …

Background With the gargantuan volume of data captured during surgeries and procedures,
critical care, and pain management, the field of anesthesiology is uniquely suited to the …

Healthcare in general, and surgery/interventional care in particular, is evolving through rapid
advances in technology and increasing complexity of care, with the goal of maximizing the …

In current anesthesiology practice, anesthesiologists infer the state of unconsciousness
without directly monitoring the brain. Drug-and patient-specific electroencephalographic …

Motor imagery EEG (MI-EEG), which reflects one's active movement intention, has attracted
increasing attention in rehabilitation therapy, and accurate and fast feature extraction is the …

Classifying the patient's depth of anesthesia (LoH) level into a few distinct states may lead to
inappropriate drug administration. To tackle the problem, this paper presents a robust and …