Staffing & Scheduling

Out damn bot, out: Recruiting real people into substance use studies on the internet.

While the Internet has become a popular and effective strategy for recruiting substance users into r...

Artificial Intelligence: A New Tool in Operating Room Management. Role of Machine Learning Models in Operating Room Optimization.

We conducted a systematic review of literature to better understand the role of new technologies in ...

Cell proliferation activity delineated by molecular docking of four new compounds isolated from the aerial parts of Forssk. ex. J.F. Gmel.

Using different chromatographic methods, four new compounds were isolated from the aerial parts of ...

Reaction-diffusion memory unit: Modeling of sensitization, habituation and dishabituation in the brain.

We propose a novel approach to investigate the effects of sensitization, habituation and dishabituat...

Towards the Exploitation of Physical Compliance in Segmented and Electrically Actuated Robotic Legs: A Review Focused on Elastic Mechanisms.

Physical compliance has been increasingly used in robotic legs, due to its advantages in terms of th...

Temozolomide radiochemotherapy for high-grade glioma patients with hemodialysis: a case series of 7 patients.

BACKGROUND: The pharmacokinetics of temozolomide (TMZ) in patients with severe renal impairments (cr...

Editorial for "Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size".

Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review.

Alzheimer's Disease (AD) is one of the leading causes of death in developed countries. From a resear...

Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images.

Autoimmune diseases are the third highest cause of mortality in the world, and the identification of...

Muscle endurance time estimation during isometric training using electromyogram and supervised learning.

UNLABELLED: Constant-force isometric muscle training is useful for increasing the maximal strength ,...

Performance and usability of machine learning for screening in systematic reviews: a comparative evaluation of three tools.

BACKGROUND: We explored the performance of three machine learning tools designed to facilitate title...

Semi-supervised Training Data Selection Improves Seizure Forecasting in Canines with Epilepsy.

OBJECTIVE: Conventional selection of pre-ictal EEG epochs for seizure prediction algorithm training ...

Predicting O-Water PET cerebral blood flow maps from multi-contrast MRI using a deep convolutional neural network with evaluation of training cohort bias.

To improve the quality of MRI-based cerebral blood flow (CBF) measurements, a deep convolutional neu...

Optimized artificial neural network based performance analysis of wheelchair movement for ALS patients.

Individuals with neurodegenerative attacks loose the entire motor neuron movements. These conditions...

SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with high generalization performance.

We evaluated SpCas9 activities at 12,832 target sequences using a high-throughput approach based on ...

Feasibility of a Sensor-Based Gait Event Detection Algorithm for Triggering Functional Electrical Stimulation during Robot-Assisted Gait Training.

Technologies such as robot-assisted gait trainers or functional electrical stimulation can improve t...

Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images.

Computer-aided segmentation of thyroid nodules in ultrasound imaging could assist in their accurate ...

From hype to hope to hard work: developing responsible AI for radiology.

Clinical non-superiority of technology-assisted gait training with body weight support in patients with subacute stroke: A meta-analysis.

BACKGROUND: Technology-assisted gait training (TAGT) with body weight support (BWS) has been designe...

Qualitative, Exploratory, and Multidimensional Study of Telepresence Robots for Overcoming Social Isolation of Children and Adolescents Hospitalized in Onco-Hematology.

Treatment of pediatric cancers and hematological malignancies requires long periods of isolation in...

Environmental odour management by artificial neural network - A review.

Unwanted odour emissions are considered air pollutants that may cause detrimental impacts to the env...