AI-Enhanced Learning for Medical English: Integrating E-Learning and Artificial Intelligence in ESP Education

Abstract

Medical English is essential for healthcare students who need to read international research, communicate in clinical settings, and participate in global professional communities. However, many learners struggle with complex terminology, specialized meanings, and limited opportunities for meaningful language practice. Traditional teaching methods, which often rely on memorization and teacher centered instruction, may not effectively support long term retention or real communicative competence. This article explores how the integration of Artificial Intelligence and E-learning can enhance Medical English instruction within English for Specific Purposes education. It proposes a practical framework that combines AI chatbots for simulated doctor patient communication, speech recognition tools for improving pronunciation and fluency, online learning platforms for flexible blended instruction, and adaptive glossaries and writing tools for personalized vocabulary and academic writing support. The analysis indicates that AI enhanced learning can increase motivation, engagement, and learner autonomy by providing immediate feedback and opportunities for repeated practice. At the same time, the article acknowledges challenges such as unequal access to technology, the need for teacher training, and ethical concerns related to privacy and academic integrity. Overall, a balanced combination of AI tools and human guidance can create a more effective learning environment and better prepare medical students for international communication in healthcare.

Keywords: Artificial Intelligence (AI); E-learning; Medical English; English for Specific Purposes (ESP); blended learning; speech recognition; chatbots; adaptive learning; vocabulary acquisition; digital transformation; healthcare communication.

DOI: 10.7176/JLLL/110-01

Publication date: March 31^st 2026