Prevention of medical errors

Design of a Trustworthy Cloud-Native National Digital Health Information Infrastructure for Secure Data Management and Use.

Since 2022, Malawi Ministry of Health (MoH) designated the development of a National Digital Health ...

Data-sampled time-varying formation for singular multi-agent systems with multiple leaders.

The time-varying formation problem of singular multi-agent systems under sampled data with multiple ...

ChatGPT Responses to Clinical Questions in the Japan Atherosclerosis Society Guidelines for Prevention of Atherosclerotic Cardiovascular Disease 2022.

AIMS: Artificial intelligence is increasingly used in the medical field. We assessed the accuracy an...

Quantitative analysis of imaging characteristics in lung adenocarcinoma in situ using artificial intelligence.

BACKGROUND: With the rising incidence of pulmonary nodules (PNs), lung adenocarcinoma in situ (AIS) ...

The role of aspirin in preventing gastrointestinal cancers.

Cancer remains an increasing global health issue and is projected to cause 50% of all global deaths ...

NIDS-FGPA: A federated learning network intrusion detection algorithm based on secure aggregation of gradient similarity models.

With the rapid development of Industrial Internet of Things (IIoT), network security issues have bec...

Distributed leader-following bipartite consensus for one-sided Lipschitz multi-agent systems via dual-terminal event-triggered mechanism.

This article analyses leader-following bipartite consensus for one-sided Lipschitz multi-agent syste...

Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis.

PURPOSE: As artificial intelligence (AI) takes an increasingly prominent role in health care, a grow...

Artificial intelligence for training and reporting infection prevention measures in critical wards.

Artificial Intelligence-Driven Skin Aging Simulation as a Novel Skin Cancer Prevention.

INTRODUCTION: Skin cancer, a prevalent cancer type among fair-skinned patients globally, poses a rel...

Impact of Artificial Intelligence-Based Technology on Nurse Management: A Systematic Review.

To describe the use of artificial intelligence (AI) by nurse managers to enhance management, leader...

Signal processing for enhancing railway communication by integrating deep learning and adaptive equalization techniques.

With the increasing amount of data in railway communication system, the conventional wireless high-f...

Neonatal bioethics, AI, and genomics.

Artificial intelligence (AI) and synthetic biology will transform civilization. The only question is...

Machine learning in the prevention of heart failure.

Heart failure (HF) is a global pandemic with a growing prevalence and is a growing burden on the hea...

Pain Assessment for Patients with Dementia and Communication Impairment: Feasibility Study of the Usage of Artificial Intelligence-Enabled Wearables.

BACKGROUND: Recent studies on machine learning have shown the potential to provide new methods with ...

Human-to-Robot Handover Based on Reinforcement Learning.

This study explores manipulator control using reinforcement learning, specifically targeting anthrop...

A novel development to encrypt data communication under t-intuitionistic fuzzy environment.

The field of cryptography has grown significantly with the advent of information and communication t...

The Most Effective Interventions for Classification Model Development to Predict Chat Outcomes Based on the Conversation Content in Online Suicide Prevention Chats: Machine Learning Approach.

BACKGROUND: For the provision of optimal care in a suicide prevention helpline, it is important to k...

MRI-based deep learning for differentiating between bipolar and major depressive disorders.

Mood disorders, particularly bipolar disorder (BD) and major depressive disorder (MDD), manifest cha...

Prevention of adverse HIV treatment outcomes: machine learning to enable proactive support of people at risk of HIV care disengagement in Tanzania.

OBJECTIVES: This study aimed to develop a machine learning (ML) model to predict disengagement from ...

eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication.

In this paper, we present the implementation of an artificial intelligence health assistant designed...