The Role of AI-Based Technologies in Maintaining Continuity of Medical Training During Disaster Scenarios

Nowadays, natural and human-made disasters have unleashed extremely difficulties to healthcare systems and medical education(۱). Events like the COVID-۱۹ pandemic, earthquakes, floods, and wars have noticeably undermined the training of medical students across the globe(۲). These conditions not merely threaten the continuity of education but also aim the weaknesses of conventional teaching methods. under these circumstances, securing the uninterrupted delivery of medical education is not only a matter of academic progression—it is an essential necessity for maintaining a reliable and prepared healthcare workforce capable of responding optimally to crises(۳). However, conventional models of medical education, which based heavily on in-person clinical and laboratory-based learning, often become severely compromised during emergencies(۴). The low access to hospitals, patients, and faculty during such times emphasizes the immediate need for creative, flexible, and resilient educational solutions that can overcome the challenges posed by crisis situations. Artificial Intelligence (AI), as one of the best advanced technologies of the modern era, has resulted in notable transformations via various fields especially in medical education. By using complex algorithms, machine learning (ML), and natural language processing (NLP), AI is able to managing educational processes in an intelligent and personalized way(۵). In medical field, AI can imitate clinical conditions, assist in the automated diagnosis of diseases, supply real-time feedback, and support the improvement of dynamic and adaptive learning programs(۶). These capabilities are remarkably beneficial during crises, when access to real clinical environments is confined. Tools like virtual patients, interactive learning systems, and intelligent assessment tools help ensure the continuity and quality of medical education under challenging conditions(۱). Additionally, AI able to analyze students’ performance results to detect their personal strength and weakness points, allowing for the optimization of learning pathways customized to each learner’s needs(۷). Therefore, education becomes more useful, focused, and accessible than ever before. Recent studies have shown that artificial intelligence (AI) can improve medical education by improving learning effectiveness, supporting clinical training, and maintaining continuity during crises conditions. Tools like virtual patients and adaptive learning systems have illustrate positive impacts on student performance. However, the integration of AI into medical education is still limited and uneven. This article aims to search current utilities of AI in medical training field, especially in emergency contexts, and to highlight key opportunities and challenges for its broader and more effective use. This article is structured to first provide an overview of the role of AI in medical education, and then a discussion of its applications during crisis situations and introduce some of the most widely used artificial intelligence technologies in this field. It then examines the benefits and disadvantages of this matter identified in recent studies and outlines practical aspects for implementation. The main results suggest that AI technologies like virtual simulations, intelligent feedback systems , and personalized learning platforms—can considerably improve the accessibility, flexibility, and effectiveness of medical education, particularly when traditional methods are disrupted. These insights underscore the need for strategic integration of AI into medical curricula to build more resilient and learner-centered educational systems.