1st International Conference on Artificial Intelligence in Medical Education with MAEMHS 2024

Artificial intelligence (AI) typically includes machine learning (ML) and deep learning (DL).The term AI dates to the 50s, and it encompasses a variety of applications ranging from general ones to highly specialised tasks, such as image recognition, speech recognition, or diagnosing a disease.Current research on the use of AI in medicine has addressed several exciting areas, including medical images, nuclear medicine, cancer histopathology, cardiology, ophthalmology, healthcare, drug discovery, and others.However, medical education research has been constantly challenged to keep pace with advances in science and technology.We face a profound shift from the information age to the artificial intelligence age.However, medical education research on AI and its use faces considerable challenges and is moving at a slower rate than what is observed in medicine, pathology, surgery and radiology.The use of AI in education and research is expected to cover areas such as (i) AI in curricula reformation and precision education, (ii) Management of AI applications, (iii) AI and medical student assessment, (iv) AI and teaching and learning, and (v) Cultivation of empathy, compassion, and ethical standards.Currently, the literature in this field is predominantly on "editorials," "commentaries," "personal views," "perspectives," "articles," "conference abstracts," "letter-to-the-editor," and "reviews."We can hardly find "original research" covering the challenges facing medical education and the use of AI in medical education.In this keynote speech, I will explore the status of publications and research on AI in medical education, the challenges we face in AI research, and how we can overcome such challenges and contribute to research on AI in medical education.