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Post: From Theory to Practice: Artificial Intelligence (AI) Literacy Course for First-Year Medical Students

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From Theory to Practice: Artificial Intelligence (AI) Literacy Course for First-Year Medical Students
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Abstract

Artificial intelligence (AI) is rapidly transforming healthcare by enhancing diagnostics, personalized medicine, and clinical decision-making. In medical education, AI chatbots have the potential to be used as virtual tutors or learning assistants. Despite AI’s growing impact, its integration into medical education remains limited. AI is not a standard component of medical curricula, which could leave many future healthcare professionals unprepared for an AI-driven workplace. To address this significant gap, this editorial describes the development of a mini-course to integrate AI training for first-year medical students. The course was focused on the fundamentals of AI, prompt engineering, practical applications of chatbots as learning assistants, and ethical use of generative AI. Editorial

Artificial intelligence (AI) is rapidly transforming healthcare and educational landscapes. In healthcare, it is used to enhance radiology, obtain faster and more accurate diagnoses, screen cancers, facilitate clinical trials or robotic surgery, and make predictions from electronic health records (EHRs). Integration of AI into the healthcare system has led to improved patient care, reduced medical errors, and optimized treatment plans. Due to its wide applications in clinical practice, there is a growing concern in the medical community that clinicians who use AI will supplant clinicians who do not use it. Like healthcare, AI has transformed medical education. AI-based tools such as chatbots can provide personalized learning experiences by adapting to the knowledge level of each student. By using AI as a virtual tutor or learning assistant, medical students can get instant personalized feedback and additional resources and assess their readiness for examinations by creating quizzes. AI can help in developing clinical reasoning skills by presenting students with clinical case simulations. It can be utilized to provide conversational pedagogy to help students form answers to open-ended questions and practice communication skills. AI-based tools have shown remarkable success in passing USMLE Step exams, making them valuable teaching and learning tools. Despite the significant impacts of AI, the inclusion of this new technology in medical education remains underexplored.

Evidence suggests that about half of medical students are using generative AI chatbots like ChatGPT for summarizing, revising, researching, or learning new material [1] […]

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