Surgery

Robotic Assessments of Proprioception and the Impact of Age.

We examined different methods of robotic proprioception assessment and provided comparison with the wrist position sense test gold standard assessment. The aim is to determine which of the assessments are the most reliable and would be acceptable for clinical evaluation. 31 children between six and sixteen participated in a pilot assessment trial and completed all four of the assessments. The asse...

Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination Indices.

Given the extensive use of machine learning in patient outcome prediction, and the understanding that the challenging nature of predictions in this field may considerably modify the performance of predictive models, research in this area requires some forms of context-sensitive performance metrics. The area under the receiver operating characteristic curve (AUC), precision, recall, specificity, an...

Robots as Malevolent Moral Agents: Harmful Behavior Results in Dehumanization, Not Anthropomorphism.

A robot's decision to harm a person is sometimes considered to be the ultimate proof of it gaining a human-like mind. Here, we contrasted predictions ...

Efficient nonparametric statistical inference on population feature importance using Shapley values.

The true population-level importance of a variable in a prediction task provides useful knowledge about the underlying data-generating mechanism and c...

Classification of Intracranial Hemorrhage Subtypes Using Deep Learning on CT Scans.

Intracranial hemorrhage is a pathological condition that requires fast diagnosis and decision making. Recently, a neural network model for classificat...

[Integration of production-university-research based on artificial intelligence for technological innovation and transformation in gastrointestinal surgery].

Medical artificial intelligence is a deeply integrated field of production-university-research. The collaborative innovation system of "industry, educ...

[Application of convolutional neural network to risk evaluation of positive circumferential resection margin of rectal cancer by magnetic resonance imaging].

To explore the feasibility of using faster regional convolutional neural network (Faster R-CNN) to evaluate the status of circumferential resection m...

Blood Lactate Concentration Prediction in Critical Care.

Blood lactate concentration is a reliable risk indicator of deterioration in critical care requiring frequent blood sampling. However, lactate measure...

The Impact of Robotic-Assisted Technology on Attitudes of Host Nation Individuals Participating in Pacific Partnership 2018: Improving Partnerships Through Technology.

The USNS Mercy (T-AH 19) on Pacific Partnership 2018 was the first mobile, expeditionary platform to utilize the da Vinci Surgical System. Using a de-...

Image-guidance, Robotics, and the Future of Spine Surgery.

Spine surgery has seen considerable advancements over the last 2 decades, particularly in the fields of image-guidance and robotics. These technologie...

An Approach to Robotic Testing of the Wrist Using Three-Dimensional Imaging and a Hybrid Testing Methodology.

Robotic technology is increasingly used for sophisticated in vitro testing designed to understand the subtleties of joint biomechanics. Typically, the...

Concordance Study in Hepatectomy Recommendations Between Watson for Oncology and Clinical Practice for Patients with Hepatocellular Carcinoma in China.

BACKGROUND: With the improvement in diagnostic imaging, perioperative care and surgical technique, the indications and complexity of liver resections ...

The Impact of Robotics in Learning Roux-en-Y Gastric Bypass: a Retrospective Analysis of 214 Laparoscopic and Robotic Procedures : Robotic Vs. Laparoscopic RYGB.

BACKGROUND: Proximal Roux-en-Y gastric bypass is commonly used to manage obesity, performed using laparoscopic or robot-assisted minimally invasive su...

Prevalence of Machine Learning in Craniofacial Surgery.

Machine learning (ML) revolves around the concept of using experience to teach computer-based programs to reliably perform specific tasks. Healthcare ...

Use of Fe3O4 Magnetic Nanoparticles Coated with Polythiophene for Simultaneous Preconcentration of Cu (II), Co (II), Cd (II), Ni (II) and Zn(II) Ions Prior to their Determination by MIS-FAAS.

A multielement preconcentration procedure based Fe3O4 magnetic nanoparticles coated with polythiophene(Fe3O4@PTh MNPs) as a solid phase was reported f...

Modeling and measurement of signaling outcomes affecting decision making in noisy intracellular networks using machine learning methods.

Characterization of decision-making in cells in response to received signals is of importance for understanding how cell fate is determined. The probl...

Role of Artificial Intelligence (AI) in Surgery: Introduction, General Principles, and Potential Applications.

AI (Artificial intelligence) is an interdisciplinary field aimed at the development of algorithms to endow machines with the capability of executing c...

Comparative outcomes of robot-assisted minimally invasive versus open esophagectomy in patients with esophageal squamous cell carcinoma: a propensity score-weighted analysis.

Robots are increasingly used in minimally invasive surgery. We evaluated the clinical benefits of robot-assisted minimally invasive esophagectomy (RAM...

Robot-Assisted Cortical Bone Trajectory Insertion of Pedicle Screws: 2-Dimensional Operative Video.

Robot-assisted pedicle screw insertion has been slowly gaining popularity in the spine surgery community. In previous studies, robotics has been shown...

Machine Learning Prediction of Postoperative Emergency Department Hospital Readmission.

BACKGROUND: Although prediction of hospital readmissions has been studied in medical patients, it has received relatively little attention in surgical...