Surgery

Robot-assisted laparoscopic extravesical versus conventional laparoscopic extravesical ureteric reimplantation for pediatric primary vesicoureteric reflux: a systematic review and meta-analysis.

To perform a systematic review and meta-analysis comparing the outcomes of robotic-assisted laparoscopic extravesical ureteric reimplantation (RALUR) with conventional laparoscopic extravesical ureteric reimplantation (LEVUR) for primary vesicoureteric reflux in children. We searched the databases to identify all papers of RALUR and LEVUR between 2001 and 2020. Systematic review was performed to i...

Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery.

BACKGROUND: Our previous work classified a taxonomy of suturing gestures during a vesicourethral anastomosis of robotic radical prostatectomy in association with tissue tears and patient outcomes. Herein, we train deep learning-based computer vision to automate the identification and classification of suturing gestures for needle driving attempts.

First in-human experience with a novel robotic platform and Magnetic Surgery System.

BACKGROUND: Magnetic technologies have been introduced to reduce invasiveness of surgical procedures. This study was aimed to analyse the performance ...

Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers.

Multi-site training methods for artificial neural networks are of particular interest to the medical machine learning community primarily due to the d...

An invited commentary on "Robotic versus laparoscopic gastrectomy for gastric cancer: The largest meta-analysis".

Re-evaluation of possible vulnerable sites in the lateral pelvic cavity to local recurrence during robot-assisted total mesorectal excision.

BACKGROUND: Despite mechanical and technical improvements in laparoscopic and robot-assisted (LAR) rectal cancer procedures, the absence of prognostic...

Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node.

BACKGROUND & AIMS: In accordance with guidelines, most patients with T1 colorectal cancers (CRC) undergo surgical resection with lymph node dissection...

Patient generated health data and electronic health record integration in oncologic surgery: A call for artificial intelligence and machine learning.

In this review, we aim to assess the current state of science in relation to the integration of patient-generated health data (PGHD) and patient-repor...

Operative and long-term oncological outcomes in patients undergoing robotic versus laparoscopic surgery for rectal cancer.

BACKGROUND: This study aimed to compare short- and long-term outcomes after robotic versus laparoscopic approach in patients undergoing curative surge...

Recurrent laryngeal nerve monitoring during totally robot-assisted Ivor Lewis esophagectomy.

PURPOSE: The robot-assisted approach for Ivor Lewis esophagectomy offers an enlarged, three-dimensional overview of the intraoperative situs. The vaga...

Population demographics in geographic proximity to hospitals with robotic platforms do not correlate with disparities in access to robotic surgery.

BACKGROUND: Disparities in access to robotic surgery have been shown on the local, regional, and national level. This study aims to see if the locatio...

Detecting mouse squamous cell carcinoma from submicron full-field optical coherence tomography images by deep learning.

The standard medical practice for cancer diagnosis requires histopathology, which is an invasive and time-consuming procedure. Optical coherence tomog...

"Magnetic-Assisted Robotic and Laparoscopic Renal Surgery: Initial Clinical Experience with the Levita Magnetic Surgical System" by Fulla et al.

Sensor-based indicators of performance changes between sessions during robotic surgery training.

Training of surgeons is essential for safe and effective use of robotic surgery, yet current assessment tools for learning progression are limited. Th...

Application of machine learning to the prediction of postoperative sepsis after appendectomy.

BACKGROUND: We applied various machine learning algorithms to a large national dataset to model the risk of postoperative sepsis after appendectomy to...

Artificial Intelligence and Deep Learning in Neuroradiology: Exploring the New Frontier.

There have been many recently published studies exploring machine learning (ML) and deep learning applications within neuroradiology. The improvement ...

Prediction of early recurrence of hepatocellular carcinoma after resection using digital pathology images assessed by machine learning.

Hepatocellular carcinoma (HCC) is a representative primary liver cancer caused by long-term and repetitive liver injury. Surgical resection is general...

Robotic Resection of Postero-Superior Liver Segments (7,8) (with Video).

BACKGROUND: Surgical resection is the standard treatment for colorectal liver metastases. Parenchyma-sparing technique should always be attemptedto pr...

Endonasal endoscopic transsphenoidal approach robot prototype: A cadaveric trial.

BACKGROUND: The Endonasal Endoscopic Transsphenoidal Surgery (EETS) is a minimally invasive procedure to approach and remove pituitary tumors and othe...

Urological and sexual function after robotic and laparoscopic surgery for rectal cancer: A systematic review, meta-analysis and meta-regression.

BACKGROUND: This systematic review sought to compare the urogenital functions after laparoscopic (LAP) and robotic (ROB) surgery for rectal cancer.