Latest AI and machine learning research in surgery for healthcare professionals.
INTRODUCTION: Robot-assisted radical cystectomy (RARC) with intracorporeal urinary diversion (ICUD) ...
With the continuous development of information technology, robotics and data science will certainly ...
BACKGROUND: Recently, several case reports and limited randomized studies have shown that quadratus ...
Oocyte morphology assessment is easy to implement in any laboratory with possible quality grading pr...
BACKGROUND: Rapid intraoperative diagnosis for unconfirmed pulmonary tumor is extremely important fo...
BACKGROUND: In surgical department, CPT code assignment has been a complicated manual human effort, ...
Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, ...
Vital signs, such as heart rate and oxygen saturation, are continuously monitored for infants in neo...
OBJECTIVES: The present study aimed to evaluate the status and trends of robotic orthopedic surgery ...
An accurate assessment of preoperative risk may improve use of hospital resources and reduce morbidi...
Subarachnoid hemorrhage (SAH) is one of the critical and severe neurological diseases with high morb...
OBJECTIVES: To compare the perioperative and postoperative outcomes of single port (SP) robotic pyel...
BACKGROUND AND AIMS: For effective patient-controlled epidural analgesia (PCEA) without many systemi...
BACKGROUND: Minimally invasive liver resection is gradually becoming the preferred technique to trea...
There are well-recognized challenges to delivering specialty health care in rural settings. These c...
OBJECTIVE: To evaluate the performance of a deep learning (DL)-based radiomics strategy on contrast-...
BACKGROUND: Currently 4 surgical techniques are performed for transthoracic esophagectomy (open esop...
Malformations of cortical development (MCD) comprise a broad spectrum of structural brain lesions fr...
Background Conventional prognostic scores usually require predefined clinical variables to predict o...
Analysis of operative data with convolutional neural networks (CNNs) is expected to improve the know...
Postpartum hemorrhage is the leading cause of maternal morbidity. Clinical prediction of postpartum ...