Latest AI and machine learning research in surgery for healthcare professionals.
Most robotic camera steering devices (RCSDs) require active steering by the surgeon and necessarily...
AIM: We compared the short-term outcomes between conventional laparoscopic surgery (CLS) and robot-a...
BACKGROUND: In the past years, robotic systems have become increasingly popular in upper limb rehabi...
The peritoneal interposition flap (PIF) has been shown to prevent postoperative symptomatic lymphoc...
BACKGROUND: Identifying laparoscopic surgical videos using artificial intelligence (AI) facilitates ...
Minimally invasive laparoscopic low or ultra-low anterior resection may present as a complex, techni...
BACKGROUND: Minimally invasive spine (MIS) fusion surgery requires image guidance and expert manual ...
BACKGROUND: Ergonomics, as defined by the optimization of one's physical environment to enhance work...
BACKGROUND: Automated brain tumor segmentation methods are computational algorithms that yield tumor...
The use of robotic assistance in endovascular interventions may facilitate smoother procedures with ...
PURPOSE: The registration of a preoperative 3D model, reconstructed, for example, from MRI, to intra...
Dislocation after total hip arthroplasty (THA) remains a major issue and an important post-surgical ...
BACKGROUND: Robotics offers improved ergonomics, visualization, instrument articulation, and tremor ...
PURPOSE: To develop and validate a deep learning model based on routine magnetic resonance (MR) imag...
We describe Australia's first reported case of robotic kidney autotransplantation for a complex rena...
Laparoscopic liver surgery is challenging to perform because of compromised ability of the surgeon t...
PURPOSE: Twin-to-twin transfusion syndrome (TTTS) is a placental defect occurring in monochorionic t...
BACKGROUND: Accurate delineation of cancer margins is critical for endoscopic curative resection. Th...