Staffing & Scheduling

Robotic-Assisted Surgery Training (RAST) Program: An Educational Research Protocol.

Technology has had a dramatic impact on how diseases are diagnosed and treated. Although cut, sew, a...

The impact of compound library size on the performance of scoring functions for structure-based virtual screening.

Larger training datasets have been shown to improve the accuracy of machine learning (ML)-based scor...

Training and validation of a deep learning architecture for the automatic analysis of coronary angiography.

BACKGROUND: In recent years, the use of deep learning has become more commonplace in the biomedical ...

Comparisons between Locomat and Walkbot robotic gait training regarding balance and lower extremity function among non-ambulatory chronic acquired brain injury survivors.

Lower limb rehabilitation exoskeleton robots connect with the human body in a wearable way and contr...

Fluorescence microscopy datasets for training deep neural networks.

BACKGROUND: Fluorescence microscopy is an important technique in many areas of biological research. ...

On training targets for deep learning approaches to clean speech magnitude spectrum estimation.

Estimation of the clean speech short-time magnitude spectrum (MS) is key for speech enhancement and ...

[Concepts of medical imaging in the work up and follow-up of cancer : oncological imaging at a glance].

Oncological imaging is a subspecialty of medical imaging and focuses on the workup and the follow-up...

Dual high-stroke and high-work capacity artificial muscles inspired by DNA supercoiling.

Powering miniature robots using actuating materials that mimic skeletal muscle is attractive because...

[Mirror-type rehabilitation training with dynamic adjustment and assistance for shoulder joint].

The real physical image of the affected limb, which is difficult to move in the traditional mirror t...

Training Spiking Neural Networks in the Strong Coupling Regime.

Recurrent neural networks trained to perform complex tasks can provide insight into the dynamic mech...

[Effect of rehabilitation robot rehabilitation training synchronizing acupuncture exercise therapy on postoperative rehabilitation with hip fracture].

OBJECTIVE: To compare the therapeutic effect between rehabilitation robot rehabilitation training sy...

Effects of passive and active training modes of upper-limb rehabilitation robot on cortical activation: a functional near-infrared spectroscopy study.

OBJECTIVE: The purpose of this study is to investigate the cortical activation during passive and ac...

Effect of a Predictive Model on Planned Surgical Duration Accuracy, Patient Wait Time, and Use of Presurgical Resources: A Randomized Clinical Trial.

IMPORTANCE: Accurate surgical scheduling affects patients, clinical staff, and use of physical resou...

Deep learning for biological age estimation.

Modern machine learning techniques (such as deep learning) offer immense opportunities in the field ...

Learning Retention Mechanisms and Evolutionary Parameters of Duplicate Genes from Their Expression Data.

Learning about the roles that duplicate genes play in the origins of novel phenotypes requires an un...

The effects of robot-assisted left-hand training on hemispatial neglect in older patients with chronic stroke: A pilot and randomized controlled trial.

BACKGROUND: Even though a variety of rehabilitative technique have been implemented to ameliorate ne...

[Artificial intelligence based Chinese clinical trials eligibility criteria classification].

Subject recruitment is a key component that affects the progress and results of clinical trials, and...

Effect of robot-assisted gait training on gait automaticity in Parkinson disease: A prospective, open-label, single-arm, pilot study.

Gait automaticity is reduced in patients with Parkinson disease (PD) due to impaired habitual contro...

Using machine learning to investigate the public's emotional responses to work from home during the COVID-19 pandemic.

According to event system theory (EST; Morgeson et al., Academy of Management Review, 40, 2015, 515-...

TL;DR: how well do machines summarize our work?

Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training.

Artificial intelligence (AI) holds much promise for enabling highly desired imaging diagnostics impr...