Surgery

[Feasibility and security of laparoscopic (± robotic) total hysterectomy in outpatient surgery: A French multicenter retrospective study].

OBJECTIVE: To assess the feasibility and safety of total hysterectomy by laparoscopic approach (± robot assisted) in ambulatory.

Automated segmentation of metal stent and bioresorbable vascular scaffold in intravascular optical coherence tomography images using deep learning architectures.

Percutaneous coronary intervention (PCI) with stent placement is a treatment effective for coronary artery diseases. Intravascular optical coherence tomography (OCT) with high resolution is used clinically to visualize stent deployment and restenosis, facilitating PCI operation and for complication inspection. Automated stent struts segmentation in OCT images is necessary as each pullback of OCT i...

Oocyte Cryopreservation - Current Scenario and Future Perspectives: A Narrative Review.

Oocyte cryopreservation is a boon for women undergoing assisted reproductive technology. With the evolution in the technique of cryopreservation over ...

Selective prediction-set models with coverage rate guarantees.

The current approach to using machine learning (ML) algorithms in healthcare is to either require clinician oversight for every use case or use their ...

Computer-Generated R.E.N.A.L. Nephrometry Scores Yield Comparable Predictive Results to Those of Human-Expert Scores in Predicting Oncologic and Perioperative Outcomes.

PURPOSE: We sought to automate R.E.N.A.L. (for radius, exophytic/endophytic, nearness of tumor to collecting system, anterior/posterior, location rela...

Proof of concept study for using UR10 robot to help total hip replacement.

BACKGROUND: The demand for total hip replacement (THR) for treating osteoarthritis has grown substantially worldwide. The existing robotic systems use...

A systematic review of robotic surgery: From supervised paradigms to fully autonomous robotic approaches.

BACKGROUND: From traditional open surgery to laparoscopic surgery and robot-assisted surgery, advances in robotics, machine learning, and imaging are ...

Machine learning approaches for the prediction of postoperative complication risk in liver resection patients.

BACKGROUND: For liver cancer patients, the occurrence of postoperative complications increases the difficulty of perioperative nursing, prolongs the h...

Big Data/AI in Neurocritical Care: Maybe/Summary.

Big data (BD) and artificial intelligence (AI) have increasingly been used in neurocritical care. "BD" can be operationally defined as extremely large...

Modular Piezoresistive Smart Textile for State Estimation of Cloths.

Smart textiles have found numerous applications ranging from health monitoring to smart homes. Their main allure is their flexibility, which allows fo...

Successful Multidisciplinary Repair of Severe Bilateral Uretero-Enteric Stricture with Inflammatory Reaction Extending to the Left Iliac Artery, after Robotic Radical Cystectomy and Intracorporeal Ileal Neobladder.

Uretero-enteric anastomotic strictures (UES) after robot-assisted radical cystectomy (RARC) represent the main cause of post-operative renal dysfuncti...

Deep learning and radiomics based automatic diagnosis of hippocampal sclerosis.

Accurate and rapid segmentation of the hippocampus can help doctors perform intractable temporal lobe epilepsy (TLE) preoperative evaluations to ident...

Factors Affecting Transperitoneal Robot-Assisted Laparoscopic Radical Prostatectomy.

To evaluate the impact of body mass index (BMI), preoperative risk classification, previous inguinal herniotomy, and abdominal operations on several ...

Robot-Assisted Laparoscopic Paravaginal Repair and Sacrocolpopexy in Patients With Pelvic Organ Prolapse.

OBJECTIVE: To evaluate the surgical effects of robotic paravaginal repair and sacrocolpopexy in patients diagnosed with lateral cystocele due to parav...

Cystectomy and ileal conduit for neurogenic bladder: Comparison of the open, laparoscopic and robotic approaches.

AIM: The objective of the present study was to compare the outcomes of open versus laparoscopic versus robotic cystectomy and ileal conduit for neurog...

Development of computer-aided model to differentiate COVID-19 from pulmonary edema in lung CT scan: EDECOVID-net.

The efforts made to prevent the spread of COVID-19 face specific challenges in diagnosing COVID-19 patients and differentiating them from patients wit...

Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy.

This study is aimed at evaluating a deep transfer learning-based model for identifying diabetic retinopathy (DR) that was trained using a dataset with...

The Use of Artificial Intelligence and Machine Learning in Surgery: A Comprehensive Literature Review.

Interest in the use of artificial intelligence (AI) and machine learning (ML) in medicine has grown exponentially over the last few years. With its ab...

Comparison of Intraperitoneal Bupivacaine and Intravenous Ketorolac for Postoperative Pain Management Following Laparoscopic Cholecystectomy.

BACKGROUND: Postoperative pain following laparoscopic cholecystectomy (LC) arises from incision sites and residual intraperitoneal CO gas. Opioids as ...

Robotics, automation, active electrode arrays, and new devices for cochlear implantation: A contemporary review.

In the last two decades, cochlear implant surgery has evolved into a minimally invasive, hearing preservation surgical technique. The devices used dur...