Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Single-incision laparoscopic cholecystectomy, first introduced in 1995, features acceptable cosmetic outcomes and postoperative pain control. The outcomes of single-port cholecystectomy by laparoscopy and robots were recently examined in many studies owing to surgeon and patient preference for minimally invasive surgery. A next-level da Vinci robotic platform was recently released. Thi...
Robotic esophageal surgery is becoming more widely adopted. Several publications on the feasibility, short-term outcomes and technical aspects are available. Most of these articles used either the da Vinci® SI system or in newer series the Xi System. The da Vinci® X system is generally considered less suited for multiquadrant access like in esophageal surgery, hence only limited data is available....
BACKGROUND: Reports in the literature describe lymphocele formation in up to half of patients following pelvic lymph node dissection (PLND) (1) in rob...
Seroma is a common complication after mastectomy. To the best of our knowledge, no prediction models have been developed for this. Henceforth, medical...
BACKGROUND: Deviation from guidelines is frequent in emergency situations, and this may lead to increased mortality. Probably because of time constrai...
PURPOSE OF REVIEW: Robotic pyeloplasty is still a relatively novel procedure. Clinically, early studies have shown high success rates, decreased compl...
PURPOSE OF REVIEW: Radical cystectomy is a complex procedure that encompasses surgery involving the urinary, gastrointestinal tracts and the retroperi...
We illustrate the steps required to train and validate a simple, machine learning-based clinical prediction model for any binary outcome, such as, for...
This chapter goes through the steps required to train and validate a simple, machine learning-based clinical prediction model for any continuous outco...
Early warning prediction of traumatic hemorrhagic shock (THS) can greatly reduce patient mortality and morbidity. We aimed to develop and validate mod...
OBJECTIVE: The aim of the study was to verify the ability of the deep learning model to identify five subtypes and normal images in non-contrast enhan...
OBJECTIVE: Conventional frame-based stereotaxy through a transfrontal approach (TFA) is the gold standard in brainstem biopsies. Because of the high s...
OBJECTIVE: The utility of robotic instrumentation is expanding in neurosurgery. Despite this, successful examples of robotic implementation for endosc...
OBJECTIVE: The accuracy of percutaneous pedicle screw placement has increased with the advent of robotic and surgical navigation technologies. However...
OBJECTIVE: The use of robotics in spinal surgery has gained popularity because of its promising accuracy and safety. ROSA is a commonly used surgical ...
Da Vinci surgical system （DVSS）, a novel surgical technology, is gradually applied in various surgical operations due to its accuracy and safety. In a...
Deep learning (DL) is a powerful machine learning technique that has increasingly been used to predict surgical outcomes. However, the large quantity ...
BACKGROUND: Minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) and percutaneous endoscopic TLIF (PE-TILF) have been widely used in s...
BACKGROUND: Despite percutaneous kyphoplasty (PKP) being widely used to treat osteoporotic vertebral compression fractures (OVCFs), the details of pun...
Theaim of this study was to determine the effect formedby pelvic diameters preoperatively measured throughmultiparametric magnetic resonance imaging (...