Knowledge, Attitude, and Practice of Artificial Intelligence Among Allied Health Professional Students

Background: Artificial intelligence (AI) is transforming healthcare and it assists the professionals with diagnosis and treatment. Instead of its growth the education about still remains limited. Understanding the knowledge, attitudes, and practices of allied health science students is essential to enhance AI's integration into their education and future work. Objective: The objective of the study is to evaluate the level of Artificial intelligence knowledge, assess attitudes toward Artificial intelligence integration, and examine the current practices of Artificial intelligence. The findings will help bridge the gap between Artificial intelligence advancements and its practical application in allied health education and practice. Material and Methods: It is a questionnaire study with a sample of 1500 students were included. The inclusion criteria were all Allied Health Professional (AHP) students and exclusion criteria were Non- Allied Health Professional Students. Results: In this study we evaluated 1500 Allied Health Professional students, 65% of whom are female, found that 93.9% are aware of basic Artificial intelligence. However, only 51.1% understand machine learning. Overall, 55% of the participants have good knowledge, with third-year students showing the highest skills compared to students in other years. Conclusion: This study highlights the importance of integrating Artificial Intelligence (AI) topics into medical education and addressing existing challenges. To effectively utilize AI for enhanced patient care and medical training, students must be adequately prepared for its integration into healthcare practice.