Practice Management

Staffing & Scheduling

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

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Job interview training targeting nonverbal communication using an android robot for individuals with autism spectrum disorder.

Job interviews are significant barriers for individuals with autism spectrum disorder because these ...

Experimental Study on Upper-Limb Rehabilitation Training of Stroke Patients Based on Adaptive Task Level: A Preliminary Study.

During robot-aided motion rehabilitation training, inappropriate difficulty of the training task usu...

Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.

Glaucoma is a leading cause of irreversible blindness. Accurate segmentation of the optic disc (OD) ...

Training improvements for ultrasound beamforming with deep neural networks.

This paper investigates practical considerations of training ultrasound deep neural network (DNN) be...

Interactive Compliance Control of a Wrist Rehabilitation Device (WRD) with Enhanced Training Safety.

Interaction control plays an important role in rehabilitation devices to ensure training safety and ...

Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data.

PURPOSE: Cancers are almost always diagnosed by morphologic features in tissue sections. In this con...

Optical Fiber Sensor Performance Evaluation in Soft Polyimide Film with Different Thickness Ratios.

To meet the application requirements of curvature measurement for soft biomedical robotics and flexi...

Comprehensive and Empirical Evaluation of Machine Learning Algorithms for Small Molecule LC Retention Time Prediction.

Liquid chromatography is a core component of almost all mass spectrometric analyses of (bio)molecule...

A randomized controlled trial of suicide prevention training for primary care providers: a study protocol.

BACKGROUND: Suicide is a national public health crisis and a critical patient safety issue. It is th...

Defining host-pathogen interactions employing an artificial intelligence workflow.

UNLABELLED: For image-based infection biology, accurate unbiased quantification of host-pathogen int...

Predicting Human Saccadic Scanpaths Based on Iterative Representation Learning.

Visual attention is a dynamic process of scene exploration and information acquisition. However, exi...

Continual lifelong learning with neural networks: A review.

Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and sk...

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy.

In recent years, endomicroscopy has become increasingly used for diagnostic purposes and interventio...

Health-Aware Model-Predictive Control of a Cooperative AGV-Based Production System.

In the paper, a new scheduling strategy for assembly systems consisting of cooperating Automated Gui...

Defining and discriminating responders from non-responders following transurethral resection of the prostate.

BACKGROUND: Transurethral resection of the prostate (TURP) is the reference standard surgical treatm...

Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation.

We investigate two crucial and closely-related aspects of CNNs for optical flow estimation: models a...

Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study.

Operating room (OR) utilization is a significant determinant of hospital profitability. One aspect o...

Advancing System Performance with Redundancy: From Biological to Artificial Designs.

Redundancy is a fundamental characteristic of many biological processes such as those in the genetic...

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