Health Policy

Evaluating online health information quality using machine learning and deep learning: A systematic literature review.

BACKGROUND: Due to the large volume of online health information, while quality remains dubious, und...

Ultra-High-Resolution T2-Weighted PROPELLER MRI of the Rectum With Deep Learning Reconstruction: Assessment of Image Quality and Diagnostic Performance.

OBJECTIVE: The aim of this study was to evaluate the impact of ultra-high-resolution acquisition and...

Will artificial intelligence chatbots revolutionize the way patients with oral diseases access information?

Applications of Artificial Intelligence in Health Care Delivery.

Health care costs now comprise nearly one-fifth of the United States' gross domestic product, with t...

Environmental force sensing helps robots traverse cluttered large obstacles.

Robots can traverse sparse obstacles by sensing environmental geometry and avoiding contact with obs...

Utilizing deep learning techniques to improve image quality and noise reduction in preclinical low-dose PET images in the sinogram domain.

BACKGROUND: Low-dose positron emission tomography (LD-PET) imaging is commonly employed in preclinic...

Harnessing Artificial Intelligence: Strategies for Mental Health Nurses in Optimizing Psychiatric Patient Care.

This narrative review explores the transformative impact of Artificial Intelligence (AI) on mental h...

Establishing a culture of highly reliable quality care.

Reliability is the likelihood that a process will perform a required function without failure, consi...

ChatGPT: Increasing accessibility for natural language processing in healthcare quality measurement.

Predicting incident cardiovascular disease among African-American adults: A deep learning approach to evaluate social determinants of health in the Jackson heart study.

The present study sought to leverage machine learning approaches to determine whether social determi...

High-quality semi-supervised anomaly detection with generative adversarial networks.

PURPOSE: The visualization of an anomaly area is easier in anomaly detection methods that use genera...

Your robot therapist is not your therapist: understanding the role of AI-powered mental health chatbots.

Artificial intelligence (AI)-powered chatbots have the potential to substantially increase access to...

Semi-Supervised Learning for Low-Cost Personalized Obstructive Sleep Apnea Detection Using Unsupervised Deep Learning and Single-Lead Electrocardiogram.

OBJECTIVE: Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder that can lead ...

Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.

The Healthcare Internet-of-Things (IoT) framework aims to provide personalized medical services with...

Automated Image Quality and Protocol Adherence Assessment of Examinations in Teledermatology: First Results.

Merging Full-Spectrum and Fragment Ion Intensity Predictions from Deep Learning for High-Quality Spectral Libraries.

Spectral libraries are useful resources in proteomic data analysis. Recent advances in deep learning...

Toward QoS Monitoring in IoT Edge Devices Driven Healthcare-A Systematic Literature Review.

Smart healthcare is altering the delivery of healthcare by combining the benefits of IoT, mobile, an...

Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions.

Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality continuous c...

Corrigendum: VIDIIA Hunter: a low-cost, smartphone connected, artificial intelligence-assisted COVID-19 rapid diagnostic platform approved for medical use in the UK.

[This corrects the article DOI: 10.3389/fmolb.2023.1144001.].

Chatting Beyond ChatGPT: Advancing Equity Through AI-Driven Language Interpretation.

Medical interpretation is an underutilized resource, despite its legal mandate and proven efficacy i...

The development of robotics courses for young children under vector space model.

Robotics education is important in training children's thinking, practical, and innovation abilities...