Surgery

Robot-assisted sutureless partial nephrectomy for the treatment of fifteen bilateral renal masses in a patient with Von Hippel-Lindau syndrome: a case report from a high-volume robotic center.

Renal cell carcinoma is among major causes of death in patients with Von Hippel-Lindau (VHL) syndrom...

Robot-assisted complex urinary tract reconstruction using intestinal segments: redefining the paradigm.

Complex urinary tract reconstruction has significantly advanced with the increasing use of robot-ass...

Predicting decompression surgery by applying multimodal deep learning to patients' structured and unstructured health data.

BACKGROUND: Low back pain (LBP) is a common condition made up of a variety of anatomic and clinical ...

Robotic Technology in Foot and Ankle Surgery: A Comprehensive Review.

Recent developments in robotic technologies in the field of orthopaedic surgery have largely been fo...

Technical evaluation of robotic tele-cholecystectomy: a randomized single-blind controlled pilot study.

Although robotic telesurgery is growing in popularity, the benefits of telesurgery compared to local...

A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI.

Glioblastoma (GBM) is the most common primary malignant brain tumor in adults. The standard treatmen...

Haemodynamic and respiratory perioperative outcomes for open versus robot-assisted radical cystectomy: A double-blinded, randomised trial.

BACKGROUND: The clinical impact of prolonged steep Trendelenburg position and CO pneumoperitoneum du...

Robotic Central Hepatectomy and Right Anterior Sectionectomy: Minimally Invasive Parenchyma Sparing Surgery for Central Liver Tumors.

A review of advances in image-guided orthopedic surgery.

Orthopedic surgery remains technically demanding due to the complex anatomical structures and cumber...

Prediction of postoperative infection in elderly using deep learning-based analysis: an observational cohort study.

Elderly patients are susceptible to postoperative infections with increased mortality. Analyzing wit...

Opening the Horizons of Functional Urology and Neurourology to Robot-assisted Surgery.

Robot-assisted surgery is likely to become the new standard of care for functional urology and neuro...

Comparison of short-term outcomes of robotic and laparoscopic transabdominal peritoneal repair for unilateral inguinal hernia: a propensity-score matched analysis.

PURPOSE: This study aimed to compare perioperative outcomes of robotic and laparoscopic transabdomin...

Towards Truly "Bespoke" Robotic Surgery: Vessel-Sparing Sigmoidectomy.

The proposed video-vignette represents a later step towards a truly robotically surgical approach, t...

Do Skills Naturally Transfer Between Multiport and Single-Port Robotic Platforms? A Comparative Study in a Simulated Environment.

With introduction of the da Vinci single-port (SP) system, we evaluated which multiport (MP) roboti...

Humanlike spontaneous motion coordination of robotic fingers through spatial multi-input spike signal multiplexing.

With advances in robotic technology, the complexity of control of robot has been increasing owing to...

Vision-Based Efficient Robotic Manipulation with a Dual-Streaming Compact Convolutional Transformer.

Learning from visual observation for efficient robotic manipulation is a hitherto significant challe...

Case of robot-assisted salvage surgery for esophageal cancer with a mediastinal fistula after definitive chemoradiotherapy.

Salvage surgery for esophageal cancer after definitive chemoradiotherapy (dCRT) is effective, but it...

Comparison of Operative Time Between Robotic and Laparoscopic Low Anterior Resection for Rectal Cancer:A Systematic Review and Meta-Analysis.

Previous studies have shown that the robotic approach has better perioperative outcomes but longer ...

Robotic resection of paediatric solid tumours at a single institution.

BACKGROUND: To explore the clinical application of robotic-assisted surgery in paediatric solid tumo...

A deep learning model for prognosis prediction after intracranial hemorrhage.

BACKGROUND AND PURPOSE: Intracranial hemorrhage (ICH) is a common life-threatening condition that mu...

A deep learning model based on fusion images of chest radiography and X-ray sponge images supports human visual characteristics of retained surgical items detection.

PURPOSE: Although a novel deep learning software was proposed using post-processed images obtained b...