Surgery

Machine learning prediction models for in-hospital postoperative functional outcome after moderate-to-severe traumatic brain injury.

AIM: This study aims to utilize machine learning (ML) and logistic regression (LR) models to predict...

Artificial Intelligence in Operating Room Management.

This systematic review examines the recent use of artificial intelligence, particularly machine lear...

The weight of BMI in impacting postoperative and oncologic outcomes in pancreaticoduodenectomy is attenuated by a robotic approach.

This study was undertaken to observe the effect of body mass index (BMI) on perioperative outcomes a...

Dexterous helical magnetic robot for improved endovascular access.

Treating vascular diseases in the brain requires access to the affected region inside the body. This...

Meta-lasso: new insight on infection prediction after minimally invasive surgery.

Surgical site infection (SSI) after minimally invasive lung cancer surgery constitutes an important ...

Experts vs. machine - comparison of machine learning to expert-informed prediction of outcome after major liver surgery.

BACKGROUND: Machine learning (ML) has been successfully implemented for classification tasks (e.g., ...

Single-Port Multiport Robot-Assisted Partial Nephrectomy: A Meta-Analysis.

Several centers have reported their experience with single-port robot-assisted partial nephrectomy ...

Review of robotic surgery platforms and end effectors.

In the last 50 years, the number of companies producing automated devices for surgical operations ha...

A supervised machine learning model for identifying predictive factors for recommending head and neck cancer surgery.

BACKGROUND: New patient referrals are often processed by practice coordinators with little-to-no med...

Robot-Assisted Thoracoscopic Resection of Ectopic Parathyroid Tissue in Mediastinum: A Scoping Review.

Ectopic parathyroid tissue in the mediastinum represents a rare and potentially serious clinical ent...

A foundation for evaluating the surgical artificial intelligence literature.

With increasing growth in applications of artificial intelligence (AI) in surgery, it has become ess...

Predicting hematoma expansion in acute spontaneous intracerebral hemorrhage: integrating clinical factors with a multitask deep learning model for non-contrast head CT.

PURPOSE: To predict hematoma growth in intracerebral hemorrhage patients by combining clinical findi...

Two- and three-dimensional evaluations following handheld robot-assisted total knee arthroplasty.

Robot-assisted total knee arthroplasty (TKA) has proven to be successful in improving the accuracy o...

Minimally invasive sacrocolpopexy: efficiency of robotic assistance compared to standard laparoscopy.

Minimally invasive abdominal sacrocolpopexy (SC) is the treatment of choice for symptomatic, high-gr...

Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens.

Crohn's disease (CD) and intestinal tuberculosis (ITB) share similar histopathological characteristi...

Artificial intelligence serving pre-surgical digital implant planning: A scoping review.

OBJECTIVES: To conduct a scoping review focusing on artificial intelligence (AI) applications in pre...

[International multicenter study: robotic vs. laparoscopic major liver resection].

First clinical experiences of robotic gastrectomy for gastric cancer using the hinotori™ surgical robot system.

BACKGROUND: Although the da Vinci™ Surgical System is the most predominantly used surgical robot wor...

The rise of robotic colorectal surgery: better for patients and better for surgeons.

Robotic colorectal surgery represents a major technological advancement in the treatment of patients...

Robotic surgery for bowel endometriosis: a multidisciplinary management of a complex entity.

BACKGROUND: Bowel endometriosis impacts quality of life. Treatment requires complex surgical procedu...

Assessment of the quality of online patient-oriented information on robotic colorectal surgery.

With advances in modern medicine, there is a constant need for accurate and up-to-date readily avail...