Latest AI and machine learning research in anesthesiology for healthcare professionals.
Artificial intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the present review we chose ten influential papers from the last five years and through Kintsugi, shed the light on recent evolution of artificial intelligence in anesthesiology. A comprehensive search in in Medline, Embase, Web of Science and Scop...
BACKGROUND: High-flow nasal cannula (HNFC) is able to provide ventilation support for patients with hypoxic respiratory failure. Early prediction of HFNC outcome is warranted, since failure of HFNC might delay intubation and increase mortality rate. Existing methods require a relatively long period to identify the failure (approximately 12 h) and electrical impedance tomography (EIT) may help iden...
Urothelial carcinoma (UC) could be observed in urinary bladder (UBUC) and upper urinary tracts (UTUC). In the National Comprehensive Cancer Network gu...
Preoperative risk assessment is essential for shared decision-making and adequate perioperative care. Common scores provide limited predictive quality...
PURPOSE: To develop a deep learning (DL) model for epidural spinal cord compression (ESCC) on CT, which will aid earlier ESCC diagnosis for less exper...
Clinical utility of perfusion index (PI) has entered a new realm as a non-invasive, quantitative index of stress response to endotracheal intubation. ...
Artificial intelligence has the potential to improve the care that is given to patients; however, the predictive models created are only as good as th...
: Inguinal hernia (IH) is a usual finding in men with prostate cancer (PCa) due to their similar risk factors, such as age, gender, and smoking. This ...
Robot-assisted esophagectomies are still considered high-risk procedures requiring complex surgical and anesthesiological planning and coordination. T...
BACKGROUND: Most radical prostatectomies are completed with robotic assistance. While studies have previously evaluated perioperative outcomes of robo...
To investigate the efficacy and safety of single-port (SP) robotic transperitoneal (TP) and retroperitoneal (RP) partial nephrectomy. We sequentiall...
PURPOSE: It is unclear whether ketorolac-based patient-controlled analgesia (PCA) leads to acute kidney injury (AKI) after robot-assisted radical pros...
Innovation of robotic surgery is still actively growing, and various novel robotic systems are in the process of development. The objective of this s...
Electroencephalography (EEG) evaluation is an important step in the clinical diagnosis of brain death during the standard clinical procedure. The proc...
Octogenarians undergoing cystectomy experience higher morbidity and mortality compared to younger patients. Though the non-inferiority of robot-assist...
The influence of robot-assisted radical prostatectomy (RARP) on patients who have previously undergone transurethral resection of the prostate (TURP) ...
This study aims to assess the efficacy and safety of robot-assisted partial nephrectomy (RAPN) compared with open partial nephrectomy (OPN) in the man...
BACKGROUND: The purpose of this study was to compare the perioperative efficacy and safety of da Vinci robot-assisted thoracoscopic surgery (RATS) for...