Latest AI and machine learning research in surgery for healthcare professionals.
Autologous reconstruction using abdominal flaps remains the most popular method for breast reconstruction worldwide. We aimed to evaluate a prediction model using machine-learning methods and to determine which factors increase abdominal flap donor site complications with logistic regression. We evaluated the predictive ability of different machine learning packages, reviewing a cohort of breast r...
OBJECTIVE: To explore the association between preoperative physical performance with short- and long-term postoperative outcomes in patients undergoing lumbar spinal fusion (LSF).
Tumor histology is an important predictor of therapeutic response and outcomes in lung cancer. Tissue sampling for pathologist review is the most reli...
Studies regarding the influence of diabetes on perioperative outcomes after major hepatectomy are conflicting. The objective of this study is to analy...
BACKGROUND: Given the worldwide popularization of conventional minimally invasive esophagectomy (C-MIE), robot-assisted MIE (RAMIE) can be expected to...
OBJECTIVE: An objective assessment of robotic assistance in colorectal surgery.
Transanal total mesorectal excision (taTME) is an emerging albeit complex technique to treat rectal cancer. The aim of this proof-of-concept preclinic...
PURPOSE: Robot-assisted laparoscopic prostatectomy (RALP) requires particular surgical conditions, such as carbon dioxide pneumoperitoneum and steep T...
To describe a database of longitudinally graded telemedicine retinal images to be used as a comparator for future studies assessing grader recall bias...
Neoadjuvant chemo-radiotherapy (CRT) followed by total mesorectal excision (TME) represents the standard treatment for patients with locally advanced ...
Assessment of risk before lung resection surgery can provide anesthesiologists with information about whether a patient can be weaned from the ventila...
After their first introduction in the 1990s to overcome the limitations of conventional laparoscopic surgery, especially in confined spaces such as th...
BACKGROUND: Immediate and accurate detection of intracranial hemorrhages (ICHs) is essential to provide a good clinical outcome for patients with ICH....
Tunas are flexible, high-performance open ocean swimmers that operate at high frequencies to achieve high swimming speeds. Most fish-like robotic syst...
snakebite causes more fatalities than all other African snake species combined. reportedly possesses an antivenom property. Therefore, we evaluated ...
The aim of the study is to examine the effect of peritoneal re-approximation or non-approximation on the postoperative course of patients at the end ...
BACKGROUND: There continues to be an interest in minimally invasive approaches to pancreatic surgery. At our institution, there has been a progressive...
BACKGROUND: We investigate the incidence and risk factors for post-operative outcomes including chyle leak following minimally invasive esophagectomy ...
OBJECTIVES: To identify predictors of renal function preservation, and to compare the global and split renal function outcomes of robot-assisted parti...
: Application of the EMG-driven robotic training in everyday therapeutic processes is a modern and innovative form of neurorehabilitation among patien...