AI in STEM Education: Teaching Healthcare Innovation through Interdisciplinary Projects

Résumé

The integration of Artificial Intelligence (AI) into STEM (Science, Technology, Engineering, and Mathematics) education has become essential in fostering innovation, particularly within the healthcare sector. By using interdisciplinary projects that combine AI, data science, and healthcare practices, students gain practical skills that prepare them for the rapidly evolving landscape of healthcare technologies. These projects not only enhance students' technical abilities but also encourage critical thinking, problem-solving, and collaboration across disciplines. The combination of AI algorithms, machine learning, and big data with healthcare knowledge fosters innovative solutions for real-world challenges such as disease prediction, personalized treatment plans, and improving patient care. The dynamic nature of healthcare demands that students learn to think beyond traditional boundaries and leverage AI to address complex healthcare needs. This paper examines the role of interdisciplinary AI-driven projects in STEM education, highlighting the benefits of collaborative learning, the development of AI-enabled healthcare applications, and the potential for shaping future healthcare innovations. The emphasis is on the importance of equipping students with both the technical knowledge of AI and the healthcare domain's practical considerations, ensuring a holistic understanding that prepares them for successful careers in healthcare innovation. It also discusses the emerging trends in AI-based healthcare research and how academic institutions can incorporate these innovations into curricula to ensure students are at the forefront of transformative change in healthcare.