Artificial Intelligence Revolutionizing the Field of Medical Education

Abstract

Medical education has ventured into a new arena of computer-assisted teaching powered by artificial intelligence (AI). In medical institutions, AI can serve as an intelligent tool facilitating the decision-making process effectively. AI can enhance teaching by assisting in developing new strategies for educators. Similarly, students also benefit from intelligent systems playing the role of competent teachers. Thus, AIintegrated medical education paves new opportunities for advanced teaching and learning experiences and improved outcomes. On the other hand, optical mark recognition and automated scoring are ways AI can also transform into a real-time assessor and evaluator in medical education. This review summarizes the AI tools and their application in medical teaching or learning, assessment, and administrative support. This article can aid medical institutes in planning and implementing AI according to the needs of the educators.

Perceptions of undergraduate medical students on artificial intelligence in medicine: mixed-methods survey study from Palestine

“…The utilization of unique educational methods could help overcome this challenge since the study participants indicated that workshops, collaborative activities, scientific conferences, and extracurricular activities were their favorite learning types. These would be simpler to apply in a complex medical curriculum and more agreeable to medical students [ 66 ]. Although some participants expressed concern that a lack of mathematical or computer science understanding would limit effective learning about AI, the rest did not believe that technical knowledge would be a challenge to the understanding of AI.…”

Artificial Intelligence: Knowledge and Attitude Among Lebanese Medical Students

“…Students appreciate the significant role of AI in research, in saving time, and in producing the most accurate results. AI tools have the capacity to assist researchers in various aspects of their work, including gathering pertinent research articles, pinpointing gaps in existing literature, devising research inquiries, suggesting suitable statistical methods for available data, generating graphical representations of data, and aiding in manuscript writing [25]. From an ethical perspective, they seem to understand the ethical standards and boundaries while using patient data and are aware of the legal consequences that can follow violations.…”

Role of artificial intelligence (Google bard) in morphological, histopathological, and radiological image identifications

“…The assimilation of artificial intelligence tools in medical education and healthcare sciences has revolutionized various aspects of academia, research, and clinical settings in healthcare systems. 10 However, various viewpoints exist about knowledge, appropriateness, and allied services. The literature is lacking to investigate the Google Bard knowledge in figures, scans, and image identifications and interpretations.…”