Introducing artificial intelligence in the undergraduate medical curriculum

Abstract

The field of medicine continues to change and expand with each day, and accordingly, we have to be ready for processing the vast range of information and to deal with a different set of health problems in the future. The purpose of the current review is to explore the role of artificial intelligence (AI) in medical education and the potential challenges and strategies that need to be adopted to overcome them. An extensive search of all materials related to the topic was carried out in the PubMed search engine, and a total of 20 articles were selected based upon their suitability with the current review objectives and analyzed. Keywords used in the search include artificial intelligence and medical education in the title alone only. AI can be used in a wide range of ways, and it has significant scope in improving the process of teaching–learning and assessment. It is a fact that at present in most of the medical institutions spread across the world, we are not training our medical students in the undergraduation period in the field of AI. This is because of the presence of various factors such as already packed schedule, untrained status of the faculty members, uncertainty about the usefulness in medical education, and technical constraints. To conclude, amid the technological developments, there is a definite scope to incorporate AI in the different aspects of undergraduate medical education, and thereby prepare the students and teachers for their future roles. The need of the hour is to design a structured curriculum and then take targeted initiatives to integrate into the existing curriculum.

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