Surgery

Optimizing predictive strategies for acute kidney injury after major vascular surgery.

BACKGROUND: Postoperative acute kidney injury is common after major vascular surgery and is associat...

Harnessing the Multistability of Kresling Origami for Reconfigurable Articulation in Soft Robotic Arms.

This study examines a biology-inspired approach of using reconfigurable articulation to reduce the c...

Diffusion histology imaging differentiates distinct pediatric brain tumor histology.

High-grade pediatric brain tumors exhibit the highest cancer mortality rates in children. While conv...

Peri-operative blood management of Jehovah's Witnesses undergoing cytoreductive surgery for advanced ovarian cancer.

BACKGROUND: The aim of this study was to evaluate the efficacy and feasibility of a peri-operative b...

A Review on the Current Applications of Artificial Intelligence in the Operating Room.

. Artificial intelligence (AI) is an era upcoming in medicine and, more recently, in the operating r...

Robot-Assisted Radical Prostatectomy in Low-Volume Regions: Should It Be Abandoned or Adopted? A Multi-Institutional Outcome Study.

To present multinational experience in robot-assisted radical prostatectomy (RARP) by fellowship-tr...

Automatic segmentation of inner ear on CT-scan using auto-context convolutional neural network.

Temporal bone CT-scan is a prerequisite in most surgical procedures concerning the ear such as cochl...

Robotic natural-orifice IntraCorporeal anastomosis with Extraction (NICE procedure) for complicated diverticulitis.

BACKGROUND: Totally intracorporeal surgery for left-sided resection carries numerous potential advan...

Propensity matched analysis of short term oncological and perioperative outcomes following robotic and thoracolaparoscopic esophagectomy for carcinoma esophagus- the first Indian experience.

Thoracolaparoscopic esophagectomy (TLE) for carcinoma esophagus has better short-term outcomes compa...

Key Experimental Factors of Machine Learning-Based Identification of Surgery Cancellations.

This study aimed to provide effective methods for the identification of surgeries with high cancella...

An interdisciplinary team-training protocol for robotic gynecologic surgery improves operating time and costs: analysis of a 4-year experience in a university hospital setting.

Main aim of this study is to assess the effect of a structured, interdisciplinary, surgical, team-tr...

Surgical training model and safe implementation of robotic pancreatoduodenectomy in Japan: a technical note.

BACKGROUND: Growing evidence for the advantages of robotic pancreatoduodenectomy (RPD) has been demo...

Porcine Model for Robot-Assisted Partial Nephrectomy Simulation at a High-Volume Tertiary Center: Resident Perception and Validation Assessment Using the Global Evaluative Assessment of Robotic Skills Tool.

With increased demands on surgeon productivity and outcomes, residency robotics training increasing...

Design and Comparison of Magnetically-Actuated Dexterous Forceps Instruments for Neuroendoscopy.

Robot-assisted minimally invasive surgical (MIS) techniques offer improved instrument precision and ...

Adaptive Physics-Based Non-Rigid Registration for Immersive Image-Guided Neuronavigation Systems.

In image-guided neurosurgery, co-registered preoperative anatomical, functional, and diffusion tens...

Real-time acoustic sensing and artificial intelligence for error prevention in orthopedic surgery.

In this work, we developed and validated a computer method capable of robustly detecting drill break...

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

Deep Learning Artificial Intelligence Model for Assessment of Hip Dislocation Risk Following Primary Total Hip Arthroplasty From Postoperative Radiographs.

BACKGROUND: Dislocation is a common complication following total hip arthroplasty (THA), and account...

Development of a Smart Hospital Assistant: Integrating Artificial Intelligence and a Voice-User Interface for Improved Surgical Outcomes.

Patient safety and efficiency are top priorities in any surgical procedure. One effective way to ach...

Predictive Analytics for Care and Management of Patients With Acute Diseases: Deep Learning-Based Method to Predict Crucial Complication Phenotypes.

BACKGROUND: Acute diseases present severe complications that develop rapidly, exhibit distinct pheno...

Proposed training pathway with initial experience to set up robotic hepatobiliary and pancreatic service.

Although robot-assisted hepatobiliary and pancreatic (HPB) surgery has gained momentum over the last...