Artificial intelligence (AI)-assisted diagnosis and treatment could expand the medical
scenarios and augment work efficiency and accuracy. However, factors influencing …

Background: This study aimed to develop a theoretical model to explore the behavioral
intentions of medical students to adopt an AI-based Diagnosis Support System. Methods …

Artificial intelligence (AI) in medical imaging applications improves the effectiveness and
efficiency of disease diagnosis in medical image analysis through neural networks, machine …

Compared to the booming industry of AIMDSS, the usage of AIMDSS among healthcare
professionals is relatively low in the hospital. Thus, a research on the acceptance and …

The COVID-19 pandemic continues to impact people worldwide–steadily depleting scarce
resources in healthcare. Medical Artificial Intelligence (AI) promises a much-needed relief …

Although the use of artificial intelligence (AI) in healthcare is still in its early stages, it is
important to understand the factors influencing its adoption. Using a qualitative multi-case …

Recently, a variety of artificial intelligence (AI)-driven smart healthcare services are rapidly
emerging in the medical market, such as intelligent image analysis, surgical navigation …

The general public's attitudes, demands, and expectations regarding medical AI could
provide guidance for the future development of medical AI to satisfy the increasing needs of …

Artificial intelligence (AI) is rapidly transforming the way human resources (HR) functions are
carried out in the health sector of China. This study aims to scrutinize the impact of artificial …

Objectives This review study was aimed to identify and document organizational,
professional, and patient characteristics influencing the adoption of Artificial Intelligence (AI) …