Surgery

Automated recognition of objects and types of forceps in surgical images using deep learning.

Analysis of operative data with convolutional neural networks (CNNs) is expected to improve the knowledge and professional skills of surgeons. Identification of objects in videos recorded during surgery can be used for surgical skill assessment and surgical navigation. The objectives of this study were to recognize objects and types of forceps in surgical videos acquired during colorectal surgerie...

Machine learning approach for the prediction of postpartum hemorrhage in vaginal birth.

Postpartum hemorrhage is the leading cause of maternal morbidity. Clinical prediction of postpartum hemorrhage remains challenging, particularly in the case of a vaginal birth. We studied machine learning models to predict postpartum hemorrhage. Women who underwent vaginal birth at the Tokyo Women Medical University East Center between 1995 and 2020 were included. We used 11 clinical variables to ...

The prediction of surgical complications using artificial intelligence in patients undergoing major abdominal surgery: A systematic review.

BACKGROUND: Conventional statistics are based on a simple cause-and-effect principle. Postoperative complications, however, have a multifactorial and ...

Surgical data science - from concepts toward clinical translation.

Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Sur...

A high-resolution, ultrabroad-range and sensitive capacitive tactile sensor based on a CNT/PDMS composite for robotic hands.

Tactile sensors are of great significance for robotic perception improvement to realize stable object manipulation and accurate object identification....

Rectus sheath block for acute pain management after robot-assisted prostatectomy.

BACKGROUND: Robot-assisted laparoscopic prostatectomy (RALP) is a favored surgical approach for treating prostate cancer. However, RALP does not decre...

Smart surgical sutures using soft artificial muscles.

Wound closure with surgical sutures is a critical challenge for flexible endoscopic surgeries. Substantial efforts have been introduced to develop fun...

Conversions in pediatric robot-assisted laparoscopic surgery.

BACKGROUND: New technology attracts necessary concerns regarding safety and effectiveness, including the risk and circumstances of conversions. This s...

Robotic local excision for rectal cancer using the da Vinci X robotic platform-A Video Vignette.

Ninety-day morbidity of robot-assisted redo surgery for recurrent rectal prolapse, mesh erosion and pelvic pain: lessons learned from 9 years' experience in a tertiary referral centre.

AIM: With increasing follow-up of patients treated with minimally invasive ventral mesh rectopexy (VMR) more redo surgery can be expected for recurren...

Analysis of Gastrointestinal Acoustic Activity Using Deep Neural Networks.

Automated bowel sound (BS) analysis methods were already well developed by the early 2000s. Accuracy of ~90% had been achieved by several teams using ...

Evaluation of the Postoperative Nursing Effect of Thoracic Surgery Assisted by Artificial Intelligence Robot.

In order to evaluate the postoperative nursing effect of artificial intelligence robot-assisted thoracic surgery, this study proposed the Da Vinci rob...

Learning curve for robotic bedside assistance for rectal cancer: application of the cumulative sum method.

BACKGROUND: This investigation assesses the learning curve for dedicated bedside assistance at a facility that recently adopted robot-assisted rectal ...

Machine learning algorithm for feature space clustering of mixed data with missing information based on molecule similarity.

Clustering Algorithms have just fascinated significant devotion in machine learning applications owing to their great competence. Nevertheless, the ex...

Prospective pilot study protocol evaluating the safety and feasibility of robot-assisted nipple-sparing mastectomy (RNSM).

INTRODUCTION: Nipple-sparing mastectomy (NSM) can be performed for the treatment of breast cancer and risk reduction, but total mammary glandular exci...

First-in-Human Robot-Assisted Subretinal Drug Delivery Under Local Anesthesia.

PURPOSE: To report the results of a first-in-human study using a robotic device to assist subretinal drug delivery in patients undergoing vitreoretina...

Laparoscopic pectopexy for patients with intraabdominal adhesions, lumbar spinal procedures, and other contraindications to sacrocolpopexy: a case series.

Laparoscopic pectopexy is an alternative to sacrocolpopexy utilizing fixation points in the anterior pelvis for vaginal vault suspension; it was origi...

Implementation of robot-assisted curative resection for rare anorectal tumours on the basis of individualised treatment.

PURPOSE: To evaluate the validity of robot-assisted curative operation for rare anorectal tumours, characterised by biological heterogeneity and anato...

Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients.

OBJECTIVES: Artif icial intelligence (AI)-based image analysis is increasingly applied in the acute stroke field. Its implementation for the detection...

Annual nationwide analysis of costs and post-operative outcomes after radical prostatectomy according to the surgical approach (open, laparoscopic, and robotic).

OBJECTIVE: Annual countrywide data are scarce when comparing surgical approaches in terms of hospital stay outcomes and costs for radical prostatectom...