DefinePK

Abstract

Background: Artificial intelligence has grown in prominence over the last few decades, and its use in medicine is spreading throughout the world. The adoption of AI-based healthcare solutions is lagging in Pakistan and other developing countries. Objective: To analyze the knowledge, attitudes, and practices of Pakistani undergraduate and graduate physiotherapy students about artificial intelligence. Methodology: This multicentre analytical cross-sectional study was conducted six months after ethical approval, including participants from CMH Lahore Medical College & Institute of Dentistry, Lahore, University of Lahore, University of South Asia, University of Management and Technology, Lahore, and Riphah International University, Lahore. Non-probability convenience sampling was used to include both male and female undergraduate, graduate, and postgraduate physiotherapy students aged 18 to 45 years, from 1st to 5th year undergraduate and 1st and 2nd year postgraduate physiotherapy students. While students enrolled in other medical and allied health sciences programs, MBBS and BDS students were excluded from this study. Data collection commenced after obtaining ethical approval, and informed consent was obtained from every participant. Data were collected by online survey and by distributing the questionnaires to physiotherapy students wherever possible. Frequencies and percentages are used to express descriptive statistics. Frequencies and percentages are used for categorical values. Results: Approximately 92% of physiotherapists were aware of artificial intelligence. Of these, 45.6% believed that it should be taught in medical schools, as it is essential to the medical field. Almost 31.4% of respondents think artificial intelligence can enhance the therapeutic relationship between patients and therapists. About 58.6% reported that using AI technologies in their employment had made their jobs easier. However, just 14.5% of students claimed that using AI was simple. Conclusion: Most students had some knowledge of artificial intelligence, and many respondents expressed interest in working on AI-related projects in the future. These findings demonstrate the high level of interest, optimistic outlook, and potential of integrating artificial intelligence in the physiotherapy sector.