Surgery

Robotic hand illusion with tactile feedback: Unravelling the relative contribution of visuotactile and visuomotor input to the representation of body parts in space.

The rubber hand illusion describes a phenomenon in which participants experience a rubber hand as being part of their body by the synchronous application of visuotactile stimulation to the real and the artificial limb. In the recently introduced robotic hand illusion (RobHI), a robotic hand is incorporated into one's body representation due to the integration of synchronous visuomotor information....

Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation.

We investigate two crucial and closely-related aspects of CNNs for optical flow estimation: models and training. First, we design a compact but effective CNN model, called PWC-Net, according to simple and well-established principles: pyramidal processing, warping, and cost volume processing. PWC-Net is 17 times smaller in size, 2 times faster in inference, and 11 percent more accurate on Sintel fi...

Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering.

OBJECTIVE: Melanoma is a dangerous form of the skin cancer responsible for thousands of deaths every year. Early detection of melanoma is possible thr...

Forecasting Pedestrian Movements Using Recurrent Neural Networks: An Application of Crowd Monitoring Data.

Currently, effective crowd management based on the information provided by crowd monitoring systems is difficult as this information comes in at the m...

Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study.

Operating room (OR) utilization is a significant determinant of hospital profitability. One aspect of this is surgical scheduling, which depends on ac...

A novel multiple communication paths for surgical telepresence videos delivery of the maxilla area in oral and maxillofacial surgery.

PURPOSE: A surgical telepresence between two surgical sites where a local surgeon in the surgery site, who is less experienced, needs help from the ex...

Predicting Hemodynamic Shock from Thermal Images using Machine Learning.

Proactive detection of hemodynamic shock can prevent organ failure and save lives. Thermal imaging is a non-invasive, non-contact modality to capture ...

Assistive Grasping Based on Laser-point Detection with Application to Wheelchair-mounted Robotic Arms.

As the aging of the population becomes more severe, wheelchair-mounted robotic arms (WMRAs) are gaining an increased amount of attention. Laser pointe...

Clinical Value of Machine Learning in the Automated Detection of Focal Cortical Dysplasia Using Quantitative Multimodal Surface-Based Features.

To automatically detect focal cortical dysplasia (FCD) lesion by combining quantitative multimodal surface-based features with machine learning and t...

Using Machine Learning to Identify Change in Surgical Decision Making in Current Use of Damage Control Laparotomy.

BACKGROUND: In an earlier study, we reported the successful reduction in the use of damage control laparotomy (DCL); however, no change in the relativ...

Minimally Invasive Radical Hysterectomy Has Many Benefits Compared with Open Radical Hysterectomy: Will the LACC Trial Cause the Premature Demise of This Procedure?

Enabling single-site laparoscopy: the SPORT platform.

BACKGROUND: The Single Port Orifice Robotic Technology (SPORT) Surgical System by Titan Medical Inc. is designed to overcome the inherent challenges o...

An EOG-based wheelchair robotic arm system for assisting patients with severe spinal cord injuries.

OBJECTIVE: In this study, we combine a wheelchair and an intelligent robotic arm based on an electrooculogram (EOG) signal to help patients with spina...

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound.

With the potential for high precision, dexterity, and repeatability, a self-tracked robotic system can be employed to assist the acquisition of real-t...

Robot-assisted laparoscopic vs laparoscopic donor nephrectomy in renal transplantation: A meta-analysis.

BACKGROUND: Currently, the robot-assisted laparoscopic donor nephrectomy (RDN) technique is used for live donor nephrectomy. Does it provide sufficien...

A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery.

Robot-assisted surgery (RAS) requires a large capital investment by healthcare organizations. The cost of a robotic unit is fixed, so institutions mus...

Shape memory alloy reinforced 5 mm ultra-thin rigid link surgical instrument with force-feedback.

We report the development of a rigid link surgical instrument for surgical robotics. The device is only 5 mm in diameter and equipped with a shape mem...

Reduced-Port Laparoscopic Surgery for Patients With Proximal Transverse Colon Cancer With Situs Inversus Totalis: A Case Report.

Situs inversus is a rare hereditary disorder in which various anomalies have been reported with internal rotation abnormalities. This case involved an...

Primary Sclerosing Cholangitis Risk Estimate Tool (PREsTo) Predicts Outcomes of the Disease: A Derivation and Validation Study Using Machine Learning.

Improved methods are needed to risk stratify and predict outcomes in patients with primary sclerosing cholangitis (PSC). Therefore, we sought to deriv...

Human/robotic interaction: vision limits performance in simulated vitreoretinal surgery.

PURPOSE: Compare accuracy and precision in XYZ of stationary and dynamic tasks performed by surgeons with and without the use of a tele-operated robot...