Transforming Applied Medical Sciences: The Impact of AI, VR, and AR on Research, Education Technology, and Clinical Practices

Wasib Bin Latif ¹*, Ida Md Yasin ¹, Mohammed Julfikar Ali ², Md. Nazrul Islam ³, Md. Shak Forid ⁴

This study determined the transformative impact of EdTech innovations in revolutionizing research productivity, elevating educational engagement, and enhancing clinical precision within applied medical sciences.

Abstract

Background: The integration of Educational Technology (EdTech) into applied medical sciences is reshaping research methods, educational practices, and clinical procedures. Technologies such as artificial intelligence (AI), virtual reality (VR), and augmented reality (AR) are increasingly adopted to enhance these fields, though empirical evidence on their overall impact remains limited. Objective: This study aims to evaluate the effectiveness of EdTech innovations in applied medical sciences, focusing on their impact on research productivity, student engagement, and clinical accuracy through both quantitative and qualitative analysis. Method: A mixed-methods approach was employed, combining quantitative surveys with qualitative interviews. Surveys were distributed to 318 researchers and educators, gathering data from January 2022 to June 2024 on the adoption and impact of AI, VR, and AR technologies. In-depth interviews provided additional qualitative insights. Statistical analysis, including t-tests with a significance level of p < 0.05, was used to assess the data. Results: Quantitative survey results showed that the implementation of AI and data analytics led to a 30% increase in research productivity (p < 0.01), with significant improvements in diagnostic accuracy and predictive capabilities. VR and AR use in medical education resulted in a 25% rise in student engagement (p < 0.05) and a 40% improvement in procedural skill retention (p < 0.01). Qualitative insights reinforced these findings, highlighting a 20% increase in collaborative research and improved interdisciplinary communication. EdTech tools also contributed to a 15% enhancement in clinical accuracy (p < 0.05). Conclusions: The integration of EdTech innovations significantly improves research efficiency, educational quality, and clinical outcomes in applied medical sciences. The mixed-methods approach provides a comprehensive evaluation, revealing both quantifiable benefits and deeper insights into the transformative potential of these technologies.

Keywords: Educational Technology, Artificial Intelligence, Virtual Reality, Augmented Reality, Medical Research

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