Health Policy

Water Quality Prediction Based on Multi-Task Learning.

Water pollution seriously endangers people's lives and restricts the sustainable development of the ...

MR imaging for shoulder diseases: Effect of compressed sensing and deep learning reconstruction on examination time and imaging quality compared with that of parallel imaging.

PURPOSE: To compare capabilities of compressed sensing (CS) with and without deep learning reconstru...

Active Fine-Tuning From gMAD Examples Improves Blind Image Quality Assessment.

The research in image quality assessment (IQA) has a long history, and significant progress has been...

An artificial intelligence model correlated with morphological and genetic features of blastocyst quality improves ranking of viable embryos.

RESEARCH QUESTION: Can better methods be developed to evaluate the performance and characteristics o...

Enabling Artificial Intelligence of Things (AIoT) Healthcare Architectures and Listing Security Issues.

A significant study has been undertaken in the areas of health care and administration of cutting-ed...

A Study of College Teachers' English Teaching Quality Based on Fuzzy Neural Network.

In many universities and colleges, the government is now paying more attention to the quality of tea...

Using Healthcare Resources Wisely: A Predictive Support System Regarding the Severity of Patient Falls.

BACKGROUND: An injurious fall is one of the main indicators of care quality in healthcare facilities...

Deep-Learning-Based Ultrasound Sound-Speed Tomography Reconstruction with Tikhonov Pseudo-Inverse Priori.

Ultrasound sound-speed tomography (USST) is a promising technology for breast imaging and breast can...

: Intelligent Wireless System for Cost-Effective Rapid Condition Assessment of Bridges under Impacts.

Bridge strikes by over-height vehicles or ships are critical sudden events. Due to their unpredictab...

The Laryngoscope Welcomes High-Quality Research Employing Artificial Intelligence.

Improved image quality and dose reduction in abdominal CT with deep-learning reconstruction algorithm: a phantom study.

OBJECTIVES: To assess the impact of a new artificial intelligence deep-learning reconstruction (Prec...

Bloom's Classification of Educational Objectives Based on Deep Learning Theory Teaching Design of Nursing Specialty.

Through the effective integration of various teaching resources, carry out the teaching design of "b...

The evaluation of the reduction of radiation dose via deep learning-based reconstruction for cadaveric human lung CT images.

To compare the quality of CT images of the lung reconstructed using deep learning-based reconstructi...

Traceable machine learning real-time quality control based on patient data.

OBJECTIVES: Patient-based real-time quality control (PBRTQC) has gained attention as an alternative/...

Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses.

BACKGROUND: Currently, the healthcare sector strives to improve the quality of patient care manageme...

High-Quality Video Watermarking Based on Deep Neural Networks and Adjustable Subsquares Properties Algorithm.

This paper presents a method of high-capacity and transparent watermarking based on the usage of dee...

Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN).

Starting from the concept of the Cloud Radio Access Network (C-RAN), continuing with the virtual Rad...

Teaching Analysis for Visual Communication Design with the Perspective of Digital Technology.

The turn of contemporary visual culture has led to the expansion of the connotation and scope of vis...

Deep learning methods for enhancing cone-beam CT image quality toward adaptive radiation therapy: A systematic review.

The use of deep learning (DL) to improve cone-beam CT (CBCT) image quality has gained popularity as ...

Argument mining as rapid screening tool of COVID-19 literature quality: Preliminary evidence.

BACKGROUND: The COVID-19 pandemic prompted the scientific community to share timely evidence, also i...

Deep-learning reconstruction to improve image quality of myocardial dynamic CT perfusion: comparison with hybrid iterative reconstruction.