Latest AI and machine learning research in surgery for healthcare professionals.
Short-form development is an important topic in psychometric research, which requires researchers to face methodological choices at different steps. The statistical techniques traditionally used for shortening tests, which belong to the so-called exploratory model, make assumptions not always verified in psychological data. This article proposes a machine learning-based autonomous procedure for sh...
PURPOSE: A robotic assistive device is developed for needle-based percutaneous interventions. The aim is a hybrid system using both manual and actuated robotic operation in order to obtain a device that has a large workspace but can still fit in the gantry opening of a CT scanner. This will enable physicians to perform precise and time-efficient CT-guided percutaneous interventions. The concept of...
BACKGROUND: Robot-assisted valve surgery represents the latest development in the field of minimally invasive approaches. Robotic assistance may provi...
OBJECTIVE: This study aims to construct and validate a predictable deep learning model associated with clinical data and multi-sequence magnetic reson...
BACKGROUND: Robotic camera holders can overcome the shortcomings of human assistants, such as shaking and accidental rotation in endoscopic surgery. R...
PURPOSE: In Germany, colorectal robot-assisted surgery (RAS) has found its way and is currently used as primary technique in colorectal resections at ...
The da Vinci Vessel Sealer is a major contributor to the total cost of robot-assisted laparoscopic prostatectomy (RALP). We aimed to assess whether th...
INTRODUCTION: The application of robotic navigation during spine surgery has advanced rapidly over the past two decades, especially in the last 5 year...
We compared outcomes of robot-assisted simple prostatectomy (RASP) in patients with and without a history of prior prostate surgery for management of...
While robotic-assisted surgery is in a Renaissance, telesurgery, facilitated by robotic technology, is evolving in the space between innovative and ma...
BACKGROUND: Robotic adrenalectomy is feasible and safe, yet concerns over increased operative times and the learning curve (LC) for proficiency have l...
Urethral diverticula are rare in children, especially in the absence of trauma. We present a case of a 9-year-old girl with pain with micturition, inc...
OBJECTIVES: Lymph node metastasis (LNM) prediction for T1 colorectal cancer (CRC) is critical for determining the need for surgery after endoscopic re...
OBJECTIVE: To present the first report of data from the Versius Surgical Registry, a prospective, multicenter data registry with ongoing collection ac...
BACKGROUND: Most radical prostatectomies are completed with robotic assistance. While studies have previously evaluated perioperative outcomes of robo...
BACKGROUND: Day surgery has been widely carried out in medical developed countries such as Europe and the United States with high efficiency, safety a...
To investigate the efficacy and safety of single-port (SP) robotic transperitoneal (TP) and retroperitoneal (RP) partial nephrectomy. We sequentiall...
OBJECTIVE: To investigate indications, surgical and functional outcomes of robotic or endoscopic facelift thyroid surgery (FTS) and whether FTS report...
A 61-year-old male presented via referral for mitral regurgitation and was deemed an appropriate robotic surgery candidate for complex mitral valve re...