Adoption of artificial intelligence technologies in health care: A cross-sectional survey on insights and perspectives of healthcare professionals.

Background: The successful implementation of artificial intelligence (AI)-enabled technologies in health care requires a thorough understanding of the needs and expectations of healthcare professionals (HCPs). This study evaluated the acceptability, expectations, needs, and concerns of HCPs regarding the adoption of AI technologies. Methods: A cross-sectional survey of 572 HCPs was conducted using an online survey questionnaire. The survey responses were aggregated, and proportions of agreement were computed to assess the familiarity, perception, expectations, and attitudes towards the adoption of AI technologies in health care. The data were further analysed as per the broad specialities of respondents. Thematic analysis was conducted to analyse the responses to open-ended questions. Results: The survey found significant gaps in technical knowledge and expertise for implementation of AI-enabled healthcare technologies, with potential scope for improvement. Whilst 73.33% of respondents rated their knowledge of computers as mediocre, 42.31% were familiar with the concepts of AI, and only 36.89% were familiar with applications of AI in their speciality. Medicine and allied specialities had the least agreement regarding the adoption of AI. The respondents noted strong optimism regarding the potential of AI in improving efficiency and clinical outcomes. However, various technical, legal, and regulatory challenges remain to be addressed before full-scale implementation of AI technologies in health care. Conclusion: The study provides valuable insights into the perspectives of HCPs regarding the integration of AI-assisted technologies, highlighting the importance of training in AI, development of robust technologies, and addressing the needs and concerns to ensure the optimal utilisation of AI in health care.