Health Policy

Perception of the Impact of Artificial Intelligence in the Decision-Making Processes of Public Healthcare Professionals.

Technologies are increasingly independent and play important roles in society. Artificial intelligence (AI) is a branch of science that can improve various environments and processes. The health sector stands out among these contexts, especially ophthalmology and dentistry. Studies evaluating the impact of using these technologies in these contexts are still developing. There are still few studies...

Comparison of transvaginal mesh surgery and robot-assisted sacrocolpopexy for pelvic organ prolapse.

BACKGROUND: Pelvic organ prolapse (POP) is greatly affecting the quality of life (QOL) of women. There are some surgical techniques for POP repair, for example, transvaginal mesh surgery (TVM), laparoscopic sacrocolpopexy (LSC), and robot-assisted sacrocolpopexy (RSC). In the United States and Europe, the number of TVM has rapidly decreased since 2011 due to complications and safety concerns and h...

Robot-Assisted General Surgery Procedures at the Veterans Health Administration: A Comparison of Surgical Techniques.

INTRODUCTION: The use of the robot in general surgery has exploded in the last decade. The Veterans Health Administration presents a unique opportunit...

Deep learning versus iterative reconstruction on image quality and dose reduction in abdominal CT: a live animal study.

While simulated low-dose CT images and phantom studies cannot fully approximate subjective and objective effects of deep learning (DL) denoising on im...

Autonomous Exploration of Unknown Indoor Environments for High-Quality Mapping Using Feature-Based RGB-D SLAM.

Simultaneous localization and mapping (SLAM) system-based indoor mapping using autonomous mobile robots in unknown environments is crucial for many ap...

Phenotypic screening with deep learning identifies HDAC6 inhibitors as cardioprotective in a BAG3 mouse model of dilated cardiomyopathy.

Dilated cardiomyopathy (DCM) is characterized by reduced cardiac output, as well as thinning and enlargement of left ventricular chambers. These chara...

Deep Learning-Based Mental Health Model on Primary and Secondary School Students' Quality Cultivation.

The purpose was to timely identify the mental disorders (MDs) of students receiving primary and secondary education (PSE) (PSE students) and improve t...

Shifting machine learning for healthcare from development to deployment and from models to data.

In the past decade, the application of machine learning (ML) to healthcare has helped drive the automation of physician tasks as well as enhancements ...

Quality Assessment of Vocational Education Teaching Reform Based on Deep Learning.

In my country, vocational training is an important part of the educational system. In my country's vocational education system, there is currently a c...

More than surgical tools: a systematic review of robots as didactic tools for the education of professionals in health sciences.

Within the field of robots in medical education, most of the work done during the last years has focused on surgeon training in robotic surgery, pract...

Leveraging Algorithms to Improve Decision-Making Workflows for Genomic Data Access and Management.

Studies on the ethics of automating clinical or research decision making using artificial intelligence and other algorithmic tools abound. Less attent...

Management and Analysis of Sports Health Level of the Elderly Based on Deep Learning.

With the accelerating rate of population aging in China, the health of the elderly has received more and more attention and has become one of the most...

Analysis on the Reform and Development of Physical Education Services in the Context of 5G Connected Communication.

With the continuous growth of science and technology, mankind has entered the fifth-generation (5G) era. In this background, the development of many f...

Principal Component Research of the Teaching Model Based on Multimodal Neural Network Algorithm.

With the deepening and improvement of the contemporary English educating reform, the lookup on the satisfactory English training has attracted greater...

Machine Learning-Based Regression Framework to Predict Health Insurance Premiums.

Artificial intelligence (AI) and machine learning (ML) in healthcare are approaches to make people's lives easier by anticipating and diagnosing disea...

Deep Learning-Based Optimization Algorithm for Enterprise Personnel Identity Authentication.

Enterprise strategic management is not only an important part of enterprise work, but also an important factor to deepen the reform of management syst...

A Micro Neural Network for Healthcare Sensor Data Stream Classification in Sustainable and Smart Cities.

A smart city is an intelligent space, in which large amounts of data are collected and analyzed using low-cost sensors and automatic algorithms. The a...

Robotic Cochlear Implantation for Direct Cochlear Access.

Robot-assisted systems offer great potential for gentler and more precise cochlear implantation. In this article, we provide a comprehensive overview ...

Dynamic Data Infrastructure Security for Interoperable e-Healthcare Systems: A Semantic Feature-Driven NoSQL Intrusion Attack Detection Model.

The exponential rise in advanced software computing and low-cost hardware has broadened the horizon for the Internet of Medical Things (IoMT), interop...

Research on Improving the Executive Ability of University Administrators Based on Deep Learning.

Over the years, experts have focused their research on ways to increase the executive capacity of university administrators. This is because only by i...