medical education

This qualitative study examined the perspectives of Iranian clinical interns on the future of artificial intelligence in healthcare, with a focus on perceived opportunities, challenges, and the readiness of medical professionals for AI integration. A total of 64 clinical interns were recruited through snowball sampling from teaching hospitals across Tehran. Data were collected through semi-structured interviews and analyzed using thematic analysis to identify key insights regarding the participants' views on AI technologies in clinical practice. The findings revealed a general optimism about the potential of AI to enhance diagnostic accuracy, streamline workflows, and improve patient outcomes. However, participants expressed concerns about ethical dilemmas, such as the impact of AI on clinical decision-making autonomy and patient privacy. Many interns highlighted the need for AI to complement rather than replace human judgment in medicine. Additionally, most participants identified significant gaps in their training regarding AI, emphasizing the necessity for curriculum reforms to better prepare future clinicians for working alongside advanced technologies.

Artificial intelligence is transforming all aspects of human life and healthcare industry is one of the areas of change due to introduction of AI. This systematic review examines the perspectives of doctors on the use of AI in clinical settings, synthesizing findings from peer-reviewed articles to provide a comprehensive understanding of their attitudes, experiences, and concerns. Drawing on studies conducted across diverse healthcare environments, the review identifies prevailing themes, including the perceived benefits of AI in improving diagnostic accuracy, streamlining workflows, and personalizing patient care. However, it also highlights persistent challenges, such as ethical dilemmas surrounding accountability and autonomy, concerns about data privacy, and the potential for algorithmic biases. The findings reveal that while many physicians are optimistic about the transformative potential of AI, significant gaps remain in education and infrastructure that hinder effective adoption. Doctors frequently underscore the need for explainable AI systems, robust regulatory frameworks, and targeted training programs to address these challenges. This review contributes to the growing body of literature on AI in healthcare by offering insights into how medical professionals perceive and engage with this rapidly evolving technology.