Latest AI and machine learning research in anesthesiology for healthcare professionals.
BACKGROUND: Robot-assisted partial nephrectomy (RAPN) has become widely accepted, but its different ...
We sought to compare the outcomes of patients who underwent an open robotic ureteroneocystostomy f...
Complex neuropsychiatric diseases such as schizophrenia require drugs that can target multiple G pro...
Effective epidural needle placement and injection involves accurate identification of the midline of...
BACKGROUND: Minimal literature describes the impact of hilar control on the progression to chronic k...
BACKGROUND: The superiority of robot-assisted thoracic surgery (RATS) over video-assisted thoracic s...
In this article, we present a real-time electroencephalogram (EEG) based depth of anesthesia (DoA) m...
Acute kidney injury (AKI) after partial nephrectomy is attributed to parenchymal reduction and isch...
BACKGROUND AND OBJECTIVE: In lung cancer, the determination of mediastinal lymph node (MLN) status a...
The intent of this article is to evaluate a novel approach, using rapid cycle analytics and real wo...
This study quantified eight small-molecule neurotransmitters collected simultaneously from prefronta...
This dataset is composed of annotations of the five hemorrhage subtypes (subarachnoid, intraventricu...
PURPOSE: Basal cell carcinoma (BCC) is the most commonly diagnosed cancer and the number of diagnosi...
Arterial hypotension during the early phase of anesthesia can lead to adverse outcomes such as a pro...
Assessing the well-being of an animal is hindered by the limitations of efficient communication betw...
PURPOSE: Needle-based procedures for diagnosing and treating prostate cancer, such as biopsy and bra...
To compare the perioperative, functional, and oncologic outcomes of robot-assisted partial nephrect...
Machine learning (ML) is revolutionizing anesthesiology research. Unlike classical research methods ...
The robot-assisted approach to radical prostatectomy (RARP) has been adopted worldwide as an accept...