Surgery

Evolution of robotic-assisted kidney transplant: successes and barriers to overcome.

PURPOSE OF REVIEW: The aim of this study was to provide an updated review of robotic-assisted kidney transplant (RAKT) with an emphasis on advantages over the open kidney transplant (OKT), utility in special populations and resources available to overcome the learning curve of robotic surgery.

Incorporating New Technologies to Overcome the Limitations of Endoscopic Spine Surgery: Navigation, Robotics, and Visualization.

Recently, spine surgery has gradually evolved from conventional open surgery to minimally invasive surgery, and endoscopic spine surgery (ESS) has become an important procedure in minimally invasive spine surgery. With improvements in the optics, spine endoscope, endoscopic burr, and irrigation pump, the indications of ESS are gradually widening from lumbar to cervical and thoracic spine. ESS was ...

[A Case of Locally Advanced Rectal Cancer Treated by Robot Assisted Intersphincteric Resection after Neoadjuvant Chemotherapy].

We present a case of locally advanced rectal cancer(LARC)treated by robot assisted intersphincteric resection(ISR)and lateral lymph node dissection(LL...

[Clinical Course and Treatment of Acute Urinary Retention after Robot- Assisted Laparoscopic Radical Prostatectomy : A Single Institution Experience of 11 Cases].

Robot-assisted laparoscopic radical prostatectomy (RARP) is becoming the standard treatment procedure for localized prostate cancer. The main complica...

Automated detection of diabetic retinopathy using machine learning classifiers.

OBJECTIVE: Diabetic Retinopathy (DR) is a highly threatening microvascular complication of diabetes mellitus. Diabetic patients must be screened annua...

A Simplified Framework for the Detection of Intracranial Hemorrhage in CT Brain Images Using Deep Learning.

BACKGROUND: The need for accurate and timely detection of Intracranial hemorrhage (ICH) is of utmost importance to avoid untoward incidents that may e...

Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage.

BACKGROUND: Doctors with various specializations and experience order brain computed tomography (CT) to rule out intracranial hemorrhage (ICH). Advanc...

Prediction and Diagnosis of Venous Thromboembolism Using Artificial Intelligence Approaches: A Systematic Review and Meta-Analysis.

Venous thromboembolism (VTE) is a fatal disease and has become a burden on the global health system. Recent studies have suggested that artificial int...

[Object Detection Model Utilizing Deep Learning to Identify Retained Surgical Gauze in the Body on Postoperative Radiography: Phantom Study].

PURPOSE: Foreign bodies such as a surgical gauze can be retained in the body after surgery and in some cases cannot be detected by postoperative radio...

THE FUTURE OF TECHNOLOGY AND ROBOTICS IN SURGERY.

In the past three decades, several technologies designed for other purposes, have been applied in surgery to provide more precision to the surgical pr...

Prognosticating Outcome in Pancreatic Head Cancer With the use of a Machine Learning Algorithm.

The purpose of this project is to identify prognostic features in resectable pancreatic head adenocarcinoma and use these features to develop a machi...

Robotic surgical staging of lymphadenectomy during pregnancy - case report.

OBJECTIVE: We aim to present a case of a 43-year-old patient dia-gnosed with cervical adenocarcinoma in the 15th week of pregnancy, who underwent robo...

Surgical management of secondary hyperparathyroidism in dialysis patients in Senegal.

Secondary hyperparathyroidism (SHPT) is a common complication of end-stage renal disease. Surgical management occurs in severe forms and/or unresponsi...

Bariatric surgery and hemodialysis: A case report of a patient with less 40 kilograms and without dialysis.

Obesity is an important risk factor for chronic kidney disease. Bariatric surgery (BS) may improve long-term kidney outcomes, but there is no agreemen...

[Risk factors for multiple debridements of the patients with deep incisional surgical site infection after spinal surgery].

OBJECTIVE: To investigate the risk factors that contribute to multiple debridements in patients suffering from deep incisional surgical site infection...

Probabilistic forecasting of surgical case duration using machine learning: model development and validation.

OBJECTIVE: Accurate estimations of surgical case durations can lead to the cost-effective utilization of operating rooms. We developed a novel machine...

Predicting Survival After Hepatocellular Carcinoma Resection Using Deep Learning on Histological Slides.

BACKGROUND AND AIMS: Standardized and robust risk-stratification systems for patients with hepatocellular carcinoma (HCC) are required to improve ther...

[The first 50 robot-assisted donor nephrectomies : Lessons learned].

BACKGROUND: Minimally invasive donor nephrectomy (DN) is considered the gold standard, but the role of robot-assisted surgery is still controversial.

Image-based laparoscopic tool detection and tracking using convolutional neural networks: a review of the literature.

Intraoperative detection and tracking of minimally invasive instruments is a prerequisite for computer- and robotic-assisted surgery. Since additional...

[Otolaryngology head and neck surgery in the age of artificial intelligence].

Artificial intelligence, as the forefront of science and technology, has been emerging in all walks of life, and has now become the main research dire...