Surgery

An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration.

BACKGROUND: The significance of liver metastasis (LM) in increasing the risk of death for postoperat...

Transcriptomic and machine learning analyses identify hub genes of metabolism and host immune response that are associated with the progression of breast capsular contracture.

Capsular contracture is a prevalent and severe complication that affects the postoperative outcomes ...

Visual modalities-based multimodal fusion for surgical phase recognition.

Surgical workflow analysis is essential to help optimize surgery by encouraging efficient communicat...

Clean visual field reconstruction in robot-assisted laparoscopic surgery based on dynamic prediction.

Robot-assisted minimally invasive surgery has been broadly employed in complicated operations. Howev...

Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study.

BACKGROUND: Accurate projections of procedural case durations are complex but critical to the planni...

Perioperative, renal function and oncological outcomes of robot-assisted radical nephroureterectomy for patients with upper tract urothelial carcinoma.

PURPOSE: To report perioperative, renal function and oncological outcomes of robot-assisted radical ...

A robot-assisted laparoscopic revision of an artificial urinary sphincter in a patient with spinal cord injury.

This step-by-step article demonstrates our approach to robot-assisted laparoscopic revision of a bla...

International survey on opinions and use of robot-assisted and laparoscopic minimally invasive pancreatic surgery: 5-year follow up.

BACKGROUND: Evidence on the value of minimally invasive pancreatic surgery (MIPS) has been increasin...

Safety and feasibility of single-port surgery for posterior retroperitoneal adrenalectomy using the da Vinci SP robotic system: a retrospective cohort study.

BACKGROUND: This study demonstrates our experience of single-port robotic posterior retroperitoneal ...

Robotic combined resection of sigmoid colon, hepatic metastasis (S3), and pelvic metastasis - A video vignette.

Robotic calvarial bone sampling.

The aim of this study was to assess the feasibility of complex unicortical calvarial harvesting by u...

A Deep Learning Model for Automatic Segmentation of Intraparenchymal and Intraventricular Hemorrhage for Catheter Puncture Path Planning.

Intracerebral hemorrhage is the subtype of stroke with the highest mortality rate, especially when i...

Learning-Based Multimodal Information Fusion and Behavior Recognition of Vascular Interventionists' Operating Skills.

The operating skills of vascular interventionists have an important impact on the effect of surgery....

Machine Learning Algorithms to Predict Delayed Cerebral Ischemia After Subarachnoid Hemorrhage: A Systematic Review and Meta-analysis.

Delayed cerebral ischemia (DCI) is a common and severe complication after subarachnoid hemorrhage (S...

iOCT-guided simulated subretinal injections: a comparison between manual and robot-assisted techniques in an ex-vivo porcine model.

The purpose of this study is to compare robot-assisted and manual subretinal injections in terms of ...

Learning curves and procedural times in Senhance®-robotic assisted fundoplication: results from 237 consecutive patients undergoing robotic fundoplication in a single center as part of the European TRUST Robotic Surgery Registry Study.

BACKGROUND: Gastroesophageal reflux disease requiring an operative solution is common. Minimally inv...

Extraperitoneal robot-assisted radical prostatectomy with the Hugo™ RAS system: initial experience of a tertiary center with a high background in extraperitoneal laparoscopy surgery.

PURPOSE: The Hugo™ RAS system is a novel robotic platform with innovative features. However, there a...

Metaverse Surgical Planning with Three-dimensional Virtual Models for Minimally Invasive Partial Nephrectomy.

The recent integration of new virtual visualization modalities with artificial intelligence and high...

Surgical scheduling via optimization and machine learning with long-tailed data : Health care management science, in press.

Using data from cardiovascular surgery patients with long and highly variable post-surgical lengths ...

Pilot Analysis of Surgeon Instrument Utilization Signatures Based on Shannon Entropy and Deep Learning for Surgeon Performance Assessment in a Cadaveric Carotid Artery Injury Control Simulation.

BACKGROUND AND OBJECTIVES: Assessment and feedback are critical to surgical education, but direct ob...

Robot-assisted radical nephrectomy using novel surgical robot platform, hinotori: Report of initial series of 13 cases.

OBJECTIVES: The aims of the present study were to describe the perioperative findings of the first s...