Health Policy

[Acceptance of assistive robots in the field of nursing and healthcare : Representative data show a clear picture for Germany].

In view of the ageing society and the high costs of support and care in private households, the ques...

Amplification Curve Analysis: Data-Driven Multiplexing Using Real-Time Digital PCR.

Information about the kinetics of PCR reactions is encoded in the amplification curve. However, in d...

A fuzzy TOPSIS based analysis toward selection of effective security requirements engineering approach for trustworthy healthcare software development.

BACKGROUND: Today's healthcare organizations want to implement secure and quality healthcare softwar...

Simple low-cost approaches to semantic segmentation in radiation therapy planning for prostate cancer using deep learning with non-contrast planning CT images.

PURPOSE: Deep learning has shown great efficacy for semantic segmentation. However, there are diffic...

Automated Quality Assessment and Image Selection of Ultra-Widefield Fluorescein Angiography Images through Deep Learning.

PURPOSE: Numerous angiographic images with high variability in quality are obtained during each ultr...

Robot-assisted Nipple-sparing Mastectomy With Immediate Breast Reconstruction: An initial Experience of the Korea Robot-endoscopy Minimal Access Breast Surgery Study Group (KoREa-BSG).

OBJECTIVE: The aim of this study was to present the results of early experience of robot-assisted ni...

Transoral robotic parapharyngeal approach to the submandibular space.

The aim of the study was to demonstrate a novel transoral parapharyngeal approach to the submandibul...

VI-Net-View-Invariant Quality of Human Movement Assessment.

We propose a view-invariant method towards the assessment of the quality of human movements which do...

Classification of Non-Severe Traumatic Brain Injury from Resting-State EEG Signal Using LSTM Network with ECOC-SVM.

Traumatic brain injury (TBI) is one of the common injuries when the human head receives an impact du...

India nudges to contain COVID-19 pandemic: A reactive public policy analysis using machine-learning based topic modelling.

India locked down 1.3 billion people on March 25, 2020, in the wake of COVID-19 pandemic. The econom...

Interactive machine learning for fast and robust cell profiling.

Automated profiling of cell morphology is a powerful tool for inferring cell function. However, this...

Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance.

Artificial Intelligence (AI) is currently being introduced into different domains, including medicin...

Editorial Comment on "Diagnostic Accuracy of Quantitative Multicontrast 5-Minute Knee MRI Using Prospective Artificial Intelligence Image Quality Enhancement".

Quality of Care Perceived by Older Patients and Caregivers in Integrated Care Pathways With Interviewing Assistance From a Social Robot: Noninferiority Randomized Controlled Trial.

BACKGROUND: Society is facing a global shortage of 17 million health care workers, along with increa...

Synthesis of diagnostic quality cancer pathology images by generative adversarial networks.

Deep learning-based computer vision methods have recently made remarkable breakthroughs in the analy...

3D cone-beam CT with a twin robotic x-ray system in elbow imaging: comparison of image quality to high-resolution multidetector CT.

BACKGROUND: Elbow imaging is challenging with conventional multidetector computed tomography (MDCT),...

Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping.

Cardiac magnetic resonance quantitative T1-mapping is increasingly used for advanced myocardial tiss...

Disentangling time series between brain tissues improves fMRI data quality using a time-dependent deep neural network.

Functional MRI (fMRI) is a prominent imaging technique to probe brain function, however, a substanti...

Application of optical character recognition with natural language processing for large-scale quality metric data extraction in colonoscopy reports.

BACKGROUND AND AIMS: Colonoscopy is commonly performed for colorectal cancer screening in the United...

A deep learning approach for facility patient attendance prediction based on medical booking data.

Nowadays, data-driven methodologies based on the clinical history of patients represent a promising ...

Active Learning Plus Deep Learning Can Establish Cost-Effective and Robust Model for Multichannel Image: A Case on Hyperspectral Image Classification.

Relying on large scale labeled datasets, deep learning has achieved good performance in image classi...