Practice Management

Staffing & Scheduling

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

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Showing 2059-2079 of 6,170 articles
Deep Learning for Instrumented Ultrasonic Tracking: From Synthetic Training Data to In Vivo Application.

Instrumented ultrasonic tracking is used to improve needle localization during ultrasound guidance o...

Deep learning model calibration for improving performance in class-imbalanced medical image classification tasks.

In medical image classification tasks, it is common to find that the number of normal samples far ex...

Volumetric segmentation of white matter tracts with label embedding.

Convolutional neural networks have achieved state-of-the-art performance for white matter (WM) tract...

Autonomous robotic surgery makes light work of anastomosis.

An autonomous robotic laparoscopic surgical technique is capable of tracking tissue motion and offer...

Service Level Agreement Monitoring as a Service: An Independent Monitoring Service for Service Level Agreements in Clouds.

The cloud network is rapidly growing due to a massive increase in interconnected devices and the eme...

A Shift from Efficiency to Adaptability: Recent Progress in Biomimetic Interactive Soft Robotics in Wet Environments.

Research field of soft robotics develops exponentially since it opens up many imaginations, such as ...

Machine learning accurately predicts the multivariate performance phenotype from morphology in lizards.

Completing the genotype-to-phenotype map requires rigorous measurement of the entire multivariate or...

Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness.

PURPOSE: Deep learning (DL) is rapidly finding applications in low-dose CT image denoising. While ha...

A review of motor neural system robotic modeling approaches and instruments.

In this review, we are considering an actively developing tool in neuroscience-robotic modeling. The...

Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations.

Background Artificial intelligence (AI) applications for cancer imaging conceptually begin with auto...

Domain-adaptive neural networks improve cross-species prediction of transcription factor binding.

The intrinsic DNA sequence preferences and cell type-specific cooperative partners of transcription ...

A Comprehensive Survey on Nanophotonic Neural Networks: Architectures, Training Methods, Optimization, and Activations Functions.

In the last years, materializations of neuromorphic circuits based on nanophotonic arrangements have...

Deep Learning and Improved HMM Training Algorithm and Its Analysis in Facial Expression Recognition of Sports Athletes.

Facial expressions are an auxiliary embodiment of information conveyed in the communication between ...

Smart Film Actuators for Biomedical Applications.

Taking inspiration from the extremely flexible motion abilities in natural organisms, soft actuators...

Annual Research Review: Translational machine learning for child and adolescent psychiatry.

Children and adolescents could benefit from the use of predictive tools that facilitate personalized...

Transfer inhibitory potency prediction to binary classification: A model only needs a small training set.

One of the most laborious for drug discovery is to select compounds from a library for experimental ...

Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data.

Till March 31st, 2021, the coronavirus disease 2019 (COVID-19) had reportedly infected more than 127...

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