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Artificial Intelligence Bias in Health Care: Web-Based Survey.

Journal of medical Internet research
BACKGROUND: Resources are increasingly spent on artificial intelligence (AI) solutions for medical applications aiming to improve diagnosis, treatment, and prevention of diseases. While the need for transparency and reduction of bias in data and algo...

Performance of Generative Large Language Models on Ophthalmology Board-Style Questions.

American journal of ophthalmology
PURPOSE: To investigate the ability of generative artificial intelligence models to answer ophthalmology board-style questions.

Does the Presence of Missing Data Affect the Performance of the SORG Machine-learning Algorithm for Patients With Spinal Metastasis? Development of an Internet Application Algorithm.

Clinical orthopaedics and related research
BACKGROUND: The Skeletal Oncology Research Group machine-learning algorithm (SORG-MLA) was developed to predict the survival of patients with spinal metastasis. The algorithm was successfully tested in five international institutions using 1101 patie...

Load Balancing Using Artificial Intelligence for Cloud-Enabled Internet of Everything in Healthcare Domain.

Sensors (Basel, Switzerland)
The emergence of the Internet of Things (IoT) and its subsequent evolution into the Internet of Everything (IoE) is a result of the rapid growth of information and communication technologies (ICT). However, implementing these technologies comes with ...

Towards effective restriction of unhealthy food marketing to children: unlocking the potential of artificial intelligence.

The international journal of behavioral nutrition and physical activity
The World Health Organization recommends that member states enact policies to limit unhealthy food marketing to children. Chile enacted relatively stringent laws that restrict unhealthy food marketing to children in two phases, beginning in 2016. Dil...

Role of the internet of medical things in care for patients with interstitial lung disease.

Current opinion in pulmonary medicine
PURPOSE OF REVIEW: Online technologies play an increasing role in facilitating care for patients with interstitial lung disease (ILD). In this review, we will give an overview of different applications of the internet of medical things (IoMT) for pat...

A comparison of ChatGPT-generated articles with human-written articles.

Skeletal radiology
OBJECTIVE: ChatGPT (Generative Pre-trained Transformer) is an artificial intelligence language tool developed by OpenAI that utilises machine learning algorithms to generate text that closely mimics human language. It has recently taken the internet ...

The Credibility of Physician Rating Websites: A Systematic Literature Review.

Health policy (Amsterdam, Netherlands)
OBJECTIVES: Increasingly, the credibility of online reviews is drawing critical attention due to the lack of control mechanisms, the constant debate about fake reviews and, last but not least, current developments in the field of artificial intellige...

Predicting Churn in Online Games by Quantifying Diversity of Engagement.

Big data
Understanding engagement patterns of users in online platforms, may it be games, online social networks, or academic websites, is a widely studied topic with many real-world applications and economic consequences. A holy grail in this area of researc...

Knowledge Sharing for Pulmonary Nodule Detection in Medical Cyber-Physical Systems.

IEEE journal of biomedical and health informatics
With the rapid development of edge intelligence (EI) and machine learning (ML), the applications of Cyber-Physical Systems (CPS) have been discovered in all aspects of the life world. As one of its most essential branches, Medical CPS (MCPS) determin...