AIMC Topic: Attitude of Health Personnel

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Understanding Physician Attitudes Toward AI in Clinical Decision-Making: Cross-Sectional Study.

JMIR formative research
BACKGROUND: The Kingdom of Saudi Arabia (KSA) has made tremendous efforts to promote the adoption of advanced technologies such as artificial intelligence (AI). While the successful adoption of AI is dependent on physician perception, there is a scar...

Acceptability of Health Information Technology by Health Care Professionals: Where We Are Now and How We Can Fill the Gap.

Journal of medical Internet research
Digital health is expected to improve the efficiency and quality of health. Health information technologies (HIT) imply allocated time, appropriate training, and new types of responsibility, whose physical and mental impact on health care professiona...

Assessing Pharmacists' Use and Perception of AI Chatbots in Pharmacy Practice: Cross-Sectional Survey Study.

JMIR medical education
BACKGROUND: The use of artificial intelligence (AI)-based large language model chatbots such as ChatGPT has become increasingly popular in many disciplines. However, concerns exist regarding ethics, legal considerations, accuracy, and reproducibility...

Barriers and enablers for generative artificial intelligence in clinical psychology: a qualitative study based on the COM-B and theoretical domains framework (TDF) models.

BMC psychology
BACKGROUND: This study investigated the perceptions of care psychologists regarding the adoption of generative artificial intelligence (GenAI) in therapeutic practice. As AI continues to be integrated into various sectors, including healthcare, under...

Robotic surgical nurses' perceptions of artificial intelligence: a qualitative study.

Journal of robotic surgery
AIM: This study aimed to explore robotic surgical nurses' perceptions and experiences of artificial intelligence (AI) and to reveal their views on its impact on professional roles and care processes.

Ethics of nursing in the digital age: perceptions and challenges among Korean nursing students.

BMC medical ethics
BACKGROUND: The advancement of digital technologies has brought transformative changes across the healthcare sector, and nursing is no exception. However, existing research has largely overlooked the ethical challenges nursing students face in real-w...

Trust transfer from medical AI to doctors and hospitals: Integrating digital, AI, and scientific literacy in a cross-sectional framework.

BMC medical ethics
This study investigates how different forms of literacy shape trust in medical AI and its transfer in healthcare contexts. Based on a survey of 1,250 participants, three findings emerge. First, digital literacy and AI literacy exert opposite influenc...

Adoption and implementation of robotic surgery in Türkiye: a multi-level qualitative analysis of individual, institutional, and systemic dynamics.

Journal of robotic surgery
This study aims to offer a multilayered assessment of the adoption and implementation of robotic surgery (RS) in Türkiye by centring surgeons' individual experiences while concurrently examining institutional conditions and broader health-system fact...

Attitudes and perceptions of dental students towards artificial intelligence.

BMC medical education
BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare, including dentistry, through its applications in diagnosis, prosthetic planning, and oral disease detection. As future professionals, dental students play a vital role in in...

Health Care Professionals' Perspectives of Socially Assistive Robots in Health Care Settings: Systematic Review.

Journal of medical Internet research
BACKGROUND: Health care professionals (HCPs) are key stakeholders whose acceptance, preparedness, and ethical considerations influence the integration of socially assistive robots (SARs). This review explores HCPs' perspectives on SARs integration in...