Integrating Artificial Intelligence in a Resource-Constrained Medical Colleges: Challenges, Dilemmas and Way Forward. A Review from Muhammad Medical College, Mirpurkhas

Abstract

Like many other sectors, AI (artificial intelligence) is now finding its place into medical education as well. This integration of AI into medical education for middle and low resource institute having financial constraint is more challenging; while making pedagogic improvement using AI it is also imperative to retain the critical thinking and clinical reasoning skills of the students. This paper adopts a narrative review approach, synthesizing findings from peer-reviewed literature pub-lished between 2020 and 2025. Sources were identified through databases such as PubMed, Scopus, and Google Scholar using keywords including “AI in medical education,” “resource-constrained curriculum,” and “developing coun-tries.” The review focused on challenges, ethical dilemmas, and proposed solutions relevant to low-resource institutions. Selected studies were critically analyzed to identify recurring themes and practical recommendations that how AI can be incorporated while maintaining cognitive autonomy and striking a balance between technology and fluency, followed by suggestions for evidence-based but resource-efficient curriculum change.

Key words: Artificial Intelligence, Medical Education, AI integrated Medical Curriculum, Pakistan, Low- and middle-income countries.