Latest AI and machine learning research in surgery for healthcare professionals.
OBJECTIVEStereoelectroencephalography (SEEG) has increased in popularity for localization of epileptogenic zones in drug-resistant epilepsy because safety, accuracy, and efficacy have been well established in both adult and pediatric populations. Development of robot-guidance technology has greatly enhanced the efficiency of this procedure, without sacrificing safety or precision. To date there ha...
Periventricular leukomalacia (PVL) is brain injury that develops commonly in neonates after cardiac surgery. Earlier identification of patients who are at higher risk for PVL may improve clinicians' ability to optimize care for these challenging patients. The aim of this study was to apply machine learning algorithms and wavelet analysis to vital sign and laboratory data obtained from neonates imm...
Patients' postoperative facial swelling following third molars extraction may have both biological impacts and social impacts. The purpose of this stu...
BACKGROUND: Computer-aided diagnosis (CAD) for colonoscopy may help endoscopists distinguish neoplastic polyps (adenomas) requiring resection from non...
Rapid diagnosis and treatment of acute neurological illnesses such as stroke, hemorrhage, and hydrocephalus are critical to achieving positive outcome...
In the ever advancing field of minimally invasive surgery, flexible instruments with local degrees of freedom are needed to navigate through the intri...
OBJECTIVE: To assess the feasibility of single-port transperitoneal robotic-assisted laparoscopic radical prostatectomy (spRALP) and discuss its surgi...
OBJECTIVE: We evaluated whether deep learning applied to whole-brain presurgical structural connectomes could be used to predict postoperative seizure...
Clinical prediction of advanced hepatic fibrosis (HF) and cirrhosis has long been challenging due to the gold standard, liver biopsy, being an invasiv...
Rodent models are decisive for translational research in healthy and pathological conditions of motor function thanks to specific similarities with hu...
PURPOSE: Soft robots are highly flexible and adaptable instruments that have proven extremely useful, especially in the surgical environment where com...
High-frequency oscillations (HFOs) in the electroencephalogram (EEG) are thought to be a promising marker for epileptogenicity. A number of automated ...
The use of robotic techniques in laparoscopic donor nephrectomy currently tends to involve a longer ischemia time without clear advantages, and the co...
BACKGROUND: Robotic surgery is increasingly being used for complex oncologic operations, although currently there is no standardized curriculum in pla...
Soft robotics is an emerging technology that has shown considerable promise in deep-sea marine biological applications. It is particularly useful in f...
The use of robotic rehabilitation in orthopaedics has been briefly explored. Despite its possible advantages, the use of computer-assisted physiothera...
BACKGROUND: Unlike a manual surgical instrument, a surgical instrument used in robot-assisted minimally invasive surgery (MIS) is configured with a wr...
Advances in communication technologies have paved the way for telemedicine to transform the delivery of medical care throughout the world. Coinciding ...
INTRODUCTION: Natural language processing, a computer science technique that allows interpretation of narrative text, is infrequently used to identify...
BACKGROUND AND PURPOSE: Convolutional neural networks are a powerful technology for image recognition. This study evaluates a convolutional neural net...