Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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Significance of Data Selection in Deep Learning for Reliable Binding Mode Prediction of Ligands in the Active Site of CYP3A4.

For rational drug design, it is essential to predict the binding mode of protein-ligand complexes. A...

Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast.

One of the most challenging tasks in modern science is the development of systems biology models: Ex...

Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data.

In this work we reduce undersampling artefacts in two-dimensional (2D) golden-angle radial cine card...

Artificial Intelligence in Musculoskeletal Imaging: A Paradigm Shift.

Artificial intelligence is upending many of our assumptions about the ability of computers to detect...

Cardiac arrhythmia detection using deep learning: A review.

Due to its simplicity and low cost, analyzing an electrocardiogram (ECG) is the most common techniqu...

Performance of machine learning software to classify breast lesions using BI-RADS radiomic features on ultrasound images.

BACKGROUND: The purpose of this work was to evaluate computable Breast Imaging Reporting and Data Sy...

Clinical effects of robot-assisted gait training and treadmill training for Parkinson's disease. A randomized controlled trial.

BACKGROUND: Although gait disorders strongly contribute to perceived disability in people with Parki...

A deep convolutional neural network for the estimation of gas chromatographic retention indices.

A deep convolutional neural network was used for the estimation of gas chromatographic retention ind...

Generalizability of A Neural Network Model for Circadian Phase Prediction in Real-World Conditions.

A neural network model was previously developed to predict melatonin rhythms accurately from blue li...

Efficient training of interval Neural Networks for imprecise training data.

This paper describes a robust and computationally feasible method to train and quantify the uncertai...

Modelling and Control of Mechatronics Lines Served by Complex Autonomous Systems.

The aim of this paper is to reverse an assembly line, to be able to perform disassembly, using two c...

Sensitivity to Stimulus Irregularity Is Inherent in Neural Networks.

Behavior is controlled by complex neural networks in which neurons process thousands of inputs. Howe...

Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases.

In order to gain insight into oligogenic disorders, understanding those involving bi-locus variant c...

Mapping differential responses to cognitive training using machine learning.

We used two simple unsupervised machine learning techniques to identify differential trajectories of...

Robot-Assisted Arm Training in Chronic Stroke: Addition of Transition-to-Task Practice.

. Robot-assisted therapy provides high-intensity arm rehabilitation that can significantly reduce st...

Engineering approaches for characterizing soft tissue mechanical properties: A review.

From cancer diagnosis to detailed characterization of arterial wall biomechanics, the elastic proper...

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