While previous research has primarily focused on the sources and causes shaping attitudes
towards artificial intelligence and autonomous vehicles, this research attempts to shed light …

Abstract Machine Learning (ML) systems have an enormous potential to improve medical
care, but skepticism about their use persists. Their inscrutability is a major concern which …

Background: Chest tube management aims to balance the risks of early chest tube removal
(such as postoperative complications and reinsertion) and detriments of excessive and …

Multifaceted ramifications of integrating connected and autonomous vehicles (CAVs) into the
transportation systems pose a complex puzzle, with no easily discernible solutions …

AIoT, or artificial intelligence of things, is a transformative combination of artificial
intelligence and the internet of things (IoT) that has far-reaching ramifications across multiple …

Abstract Explainable Artificial Intelligence (AI) aims to provide insight into the inner workings
of black-box AI systems and thereby increase trust through the provision of local and global …

Artificial intelligence (AI) has grown in healthcare in recent years. The UK government
recognises AI's potential to enhance NHS services, yet research on AI in primary care (PC) …

Introduction The mainstream of development in Knowledge Based Economy (KBE) is
Industry 4.0, also known as the fourth industrial revolution (David et al., 2022). Modern …

Purpose: This study aims to uncover the transformative effects of AI on forest management
organizations and AI service providers' role in them. This includes AI's drivers and barriers …

Conclusion: High exposure to AI positively influences trust in brands that utilize AI in their
services. Additionally, attitudes toward AI and perceptions of AI accuracy positively mediate …