Surgery

Training radial basis function networks for wind speed prediction using PSO enhanced differential search optimizer.

This paper presents an integrated hybrid optimization algorithm for training the radial basis function neural network (RBF NN). Training of neural networks is still a challenging exercise in machine learning domain. Traditional training algorithms in general suffer and trap in local optima and lead to premature convergence, which makes them ineffective when applied for datasets with diverse featur...

Survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers.

A prior project found that an intensive (12 weeks, thrice weekly sessions) in-person, supervised, exercise coaching intervention was effective for smoking cessation among depressed women smokers. However, the sample was 90% White and of high socioeconomic status, and the intensity of the intervention limits its reach. One approach to intervention scalability is to deliver the supervised exercise c...

Recovery and compensation after robotic assisted gait training in chronic stroke survivors.

Gait re-education is a primary rehabilitation goal after stroke. In the last decades, robots with different mechanical structures have been extensive...

Optimal Design of a Soft Robotic Gripper for Grasping Unknown Objects.

This study presents the design of an underactuated, two-finger, motor-driven compliant gripper for grasping size-varied unknown objects. The gripper m...

Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks.

This paper investigates the automatic monitoring of tool usage during a surgery, with potential applications in report generation, surgical training a...

Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.

BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data as both empirical and evidence support for the de...

Clinical outcomes and costs of robotic surgery in prostate cancer: a multiinstitutional study in Korea.

BACKGROUND: This study compared the surgical, functional, and oncologic outcomes of robot-assisted laparoscopic radical prostatectomy (RALP), laparosc...

Recognition of early stage thigmotaxis in Morris water maze test with convolutional neural network.

The Morris water maze test (MWM) is a useful tool to evaluate rodents' spatial learning and memory, but the outcome is susceptible to various experime...

Understanding and diagnosing the potential for bias when using machine learning methods with doubly robust causal estimators.

Data-adaptive methods have been proposed to estimate nuisance parameters when using doubly robust semiparametric methods for estimating marginal causa...

Robot Assisted Surgical Ward Rounds: Virtually Always There.

 While an explosion in technological sophistication has revolutionized surgery within the operating theatre, delivery of surgical ward-based care has ...

Glucagonoma and Glucagonoma Syndrome: One Center's Experience of Six Cases.

Glucagonoma is an extremely rare neuroendocrine tumor arising from pancreatic islet cells. Although patients with glucagonoma manifest multiple typic...

Predicting net joint moments during a weightlifting exercise with a neural network model.

The purpose of this study was to develop and train a Neural Network (NN) that uses barbell mass and motions to predict hip, knee, and ankle Net Joint ...

A Modular Soft Robotic Wrist for Underwater Manipulation.

This article presents the development of modular soft robotic wrist joint mechanisms for delicate and precise manipulation in the harsh deep-sea envir...

Intelligent Word Embeddings of Free-Text Radiology Reports.

Radiology reports are a rich resource for advancing deep learning applications in medicine by leveraging the large volume of data continuously being u...

Detecting Evidence of Intra-abdominal Surgical Site Infections from Radiology Reports Using Natural Language Processing.

Free-text reports in electronic health records (EHRs) contain medically significant information - signs, symptoms, findings, diagnoses - recorded by c...

A Reinforcement Learning Neural Network for Robotic Manipulator Control.

We propose a neural network model for reinforcement learning to control a robotic manipulator with unknown parameters and dead zones. The model is com...

Control of a 7-DOF Robotic Arm System With an SSVEP-Based BCI.

Although robot technology has been successfully used to empower people who suffer from motor disabilities to increase their interaction with their phy...

Robotic Hybrid Approach for an Anterior Pancoast Tumor in a Severely Obese Patient.

Several different surgical approaches to anterior Pancoast tumors have been proposed. The osteomuscular-sparing transmanubrial approach allows optimal...

Learning-based endovascular navigation through the use of non-rigid registration for collaborative robotic catheterization.

PURPOSE: Endovascular intervention is limited by two-dimensional intraoperative imaging and prolonged procedure times in the presence of complex anato...

Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling.

Purpose To compare two technical approaches for determination of coronary computed tomography (CT) angiography-derived fractional flow reserve (FFR)-F...