Practice Management

Staffing & Scheduling

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

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Showing 1576-1596 of 6,167 articles
Deep Learning Framework for Controlling Work Sequence in Collaborative Human-Robot Assembly Processes.

The human-robot collaboration (HRC) solutions presented so far have the disadvantage that the intera...

Effectiveness of Semi-Supervised Active Learning in Automated Wound Image Segmentation.

Appropriate wound management shortens the healing times and reduces the management costs, benefiting...

Energy saving strategy of cloud data computing based on convolutional neural network and policy gradient algorithm.

Cloud Data Computing (CDC) is conducive to precise energy-saving management of user data centers bas...

Deep learning-based method for automatic resolution of gas chromatography-mass spectrometry data from complex samples.

Modern gas chromatography-mass spectrometry (GC-MS) is the workhorse for the high-throughput profili...

Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware.

Ever-growing demand for artificial intelligence has motivated research on unconventional computation...

Data Valuation Algorithm for Inertial Measurement Unit-Based Human Activity Recognition.

This paper proposes a data valuation algorithm for inertial measurement unit-based human activity re...

A Comprehensive Predictive-Learning Framework for Optimal Scheduling and Control of Smart Home Appliances Based on User and Appliance Classification.

Energy consumption is increasing daily, and with that comes a continuous increase in energy costs. P...

Reinforcement learning using Deep networks and learning accurately localizes brain tumors on MRI with very small training sets.

BACKGROUND: Supervised deep learning in radiology suffers from notorious inherent limitations: 1) It...

Deep Learning for Breast MRI Style Transfer with Limited Training Data.

In this work we introduce a novel medical image style transfer method, StyleMapper, that can transfe...

Microrobots for Targeted Delivery and Therapy in Digestive System.

Untethered miniature robots enable targeted delivery and therapy deep inside the gastrointestinal tr...

Performance of the SABAT Neutron-Based Explosives Detector Integrated with an Unmanned Ground Vehicle: A Simulation Study.

The effective and safe detection of illicit materials, explosives in particular, is currently of gro...

On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature.

BACKGROUND: Care during pregnancy, childbirth and puerperium are fundamental to avoid pathologies fo...

MR-KPA: medication recommendation by combining knowledge-enhanced pre-training with a deep adversarial network.

BACKGROUND: Medication recommendation based on electronic medical record (EMR) is a research hot spo...

Ensemble learning and personalized training for the improvement of unsupervised deep learning-based synthetic CT reconstruction.

BACKGROUND: The growing adoption of magnetic resonance imaging (MRI)-guided radiation therapy (RT) p...

Applications of artificial intelligence in anaerobic co-digestion: Recent advances and prospects.

Anaerobic co-digestion (AcoD) offers several merits such as better digestibility and process stabili...

Use of Robot-Assisted Gait Training in Pediatric Patients with Cerebral Palsy in an Inpatient Setting-A Randomized Controlled Trial.

Robot-assisted gait training (RAGT) provides a task-based support of walking using exoskeletons. Evi...

Transparency in Artificial Intelligence Research: a Systematic Review of Availability Items Related to Open Science in Radiology and Nuclear Medicine.

RATIONALE AND OBJECTIVES: Reproducibility of artificial intelligence (AI) research has become a grow...

Parallel, component training in robotic total mesorectal excision.

There has been widespread adoption of robotic total mesorectal excision (TME) for rectal cancer in r...

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