| Abstrakt: |
Introduction: Artificial intelligence (AI) could be understood as the technology that mimics the human knowledge based solely on input data. In recent years, AI has become the talk of town and is being applied to health care more and more. The emergence of AI in health care has been groundbreaking, reshaping the way of diagnosis, treatment, and monitoring of patients. There are many instances where AI can perform well in the field of health care. Hence, the objective of this study was to assess the knowledge, perspective, familiarity/attitude, practice, and barriers in the acceptance of AI of health-care professionals. Materials and Methods: A 42-question survey was distributed in the form of Google survey tool containing seven sections: demographics, knowledge, practice, familiarity, perspective, acceptance, and barriers to AI use in health care. It was distributed through professional networks, organizations, and relevant online communities. Results: A total of 327 health-care professionals (209 females, 115 males, and 3 others) participated in the survey. Clinicians were 217 (66.4%), whereas 57 (17.4%) and 53 (16.2%) were undergraduates and postgraduates, respectively, belonging to medicine (17.4%), dental (76.8%), and allied sciences (5.8%). According to 249 (76.1%) participants, they did not use AI-based tools in their practice. More than half of the study participants agreed that AI can be effectively and efficiently used in health-care delivery. Majority of the participants agreed that AI-based tool's ability to reveal early disease risks (27.2%) and help in surgical intervention (13.1%) were main advantages of AI. Among all the disadvantages, high investment costs (50.8%) and regulatory concerns (38.8%) were the major barriers in adoption of AI in health care. Conclusion: This research study sheds light on the knowledge, practice, familiarity, perception, acceptance, and barriers associated with health-care workers and AI in health care. Shedding the light on the need of allocation of resources for research and development in AI applications tailored to health care. [ABSTRACT FROM AUTHOR] |
