Perceptions for Utilization of Artificial Intelligence among Early Pediatric Rehabilitation Practitioners: A Survey in Pakistan

Abstract

Integration of Artificial Intelligence in clinical medicine is rapidly expanding, driven by advancements in computing and extensive datasets. Artificial Intelligence is primarily utilized to design diagnostic tools for numerous medical conditions. Objective: To assess perceptions of using Artificial Intelligence among early pediatric rehabilitation practitioners in Pakistan. Methods: A cross-sectional online survey was conducted from November 2023 to April 2024, targeting young Masters students of Physical Therapy specializing in Pediatric Care and early pediatric therapists across Pakistan. Nonprobability convenience sampling was utilized. Participants were recruited through mailing lists and social media platforms. The anonymous survey collected demographic data and explored participants' knowledge, expected benefits, fears, and practices regarding Artificial Intelligence using a structured questionnaire. Descriptive statistics were employed for data analysis. Results: A total of 120 participants, with a mean age of 26 years and 70% female representation, completed the survey. Approximately 39.1% had received Artificial Intelligence training during their medical education, and 48.3% had utilized Artificial Intelligence tools during their learning. Key findings included 93.3% believing that Artificial Intelligence will enhance medical training and 60.8% agreeing that Artificial Intelligence will improve healthcare access. Despite positive attitudes towards AI, 54.1% had not utilized AI in their practice, indicating a need for further professional education. Conclusion: It was concluded that the study highlights a generally positive perception of Artificial Intelligence among novice pediatric rehabilitation practitioners in Pakistan but underscores the need for comprehensive AI education and training.

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