Surgery

Evaluation of Deep Learning Models for Identifying Surgical Actions and Measuring Performance.

IMPORTANCE: When evaluating surgeons in the operating room, experienced physicians must rely on live...

A Novel Surgical Technique for Obstructed Megaureter: Robot-Assisted Laparoscopic Dismembered Extravesical Cross-Trigonal Ureteral Reimplantation-Short-Term Assessment.

To describe our experience with robot-assisted laparoscopic dismembered extravesical cross-trigonal...

Design of a tether-driven minimally invasive robotic surgical tool with decoupled degree-of-freedom wrist.

BACKGROUND: Dexterous surgical tool wrists used in tele-operated robotic surgery typically have mech...

Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets.

Background and objectivesAutomated segmentation and tracking of surgical instruments and catheters u...

An Underwater Robotic Manipulator with Soft Bladders and Compact Depth-Independent Actuation.

An underwater manipulator is essential for underwater robotic sampling and other service operations....

Bioinspired Soft Robot with Incorporated Microelectrodes.

Bioinspired soft robotic systems that mimic living organisms using engineered muscle tissue and biom...

A Multi-Institutional Analysis of the Effect of Positive Surgical Margins Following Robot-Assisted Partial Nephrectomy on Oncologic Outcomes.

To determine the effect of positive surgical margins (PSMs) on oncologic outcomes following robot-a...

The Virtual Operative Assistant: An explainable artificial intelligence tool for simulation-based training in surgery and medicine.

Simulation-based training is increasingly being used for assessment and training of psychomotor skil...

Opportunities for machine learning to improve surgical ward safety.

BACKGROUND: Delayed recognition of decompensation and failure-to-rescue on surgical wards are major ...

End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation.

Electro-stimulation or modulation of deep brain regions is commonly used in clinical procedures for ...

Utility of Artificial Intelligence Tool as a Prospective Radiology Peer Reviewer - Detection of Unreported Intracranial Hemorrhage.

RATIONALE AND OBJECTIVES: Misdiagnosis of intracranial hemorrhage (ICH) can adversely impact patient...

CFD based parameter tuning for motion control of robotic fish.

After millions of years of evolution, fishes have been endowed with agile swimming ability to accomp...

Prediction of perioperative transfusions using an artificial neural network.

BACKGROUND: Accurate prediction of operative transfusions is essential for resource allocation and i...

Robot-Assisted Minimally Invasive Esophagectomy with Intrathoracic Anastomosis (Ivor Lewis): Promising Results in 100 Consecutive Patients (the European Experience).

BACKGROUND: Robot-assisted minimally invasive esophagectomy (RAMIE) with intrathoracic anastomosis i...

Intravenous Lignocaine-Fentanyl Versus Epidural Ropivacaine-Fentanyl for Postoperative Analgesia After Major Abdominal Oncosurgery: A Pilot Prospective Randomised Study.

OBJECTIVE: Epidural injection of local anaesthetics and intravenous opioid injection are two common ...

The surgical robot Micro Hand S: A cheapest device for an innovative surgery. An invited commentary on "Chinese surgical robot Micro Hand S: A consecutive case series in general surgery".

Design and modeling of a high-load soft robotic gripper inspired by biological winding.

The improvement of the load capacity of soft robotic grippers has always been a challenge. The load ...

Grasping Force Control of Multi-Fingered Robotic Hands through Tactile Sensing for Object Stabilization.

Grasping force control is important for multi-fingered robotic hands to stabilize the grasped object...

CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules among surgical candidates: comparison of the diagnostic performance with a size-based logistic model and radiologists.

OBJECTIVES: To evaluate the deep learning models for differentiating invasive pulmonary adenocarcino...

Machine Learning Algorithms for Predicting the Recurrence of Stage IV Colorectal Cancer After Tumor Resection.

The aim of this study is to explore the feasibility of using machine learning (ML) technology to pre...

Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level.

PURPOSE: Recently, laser refractive surgery options, including laser epithelial keratomileusis, lase...