Integration of Artificial Intelligence in medical educational training: Opportunities and challenges

Artificial intelligence (AI) is a computer science discipline focused on the development of systems and algorithms capable of performing human tasks, such as learning, reasoning, problem-solving, and language understanding. Its applications range from virtual assistants to medical diagnostic systems. The introduction of AI in medicine has brought significant changes, improving diagnostics, management, and medical education, but also raising concerns about its overuse and impact on the doctor-patient relationship. The integration of AI into medical education is essential to prepare health professionals for its ethical and effective use. Studies highlight the benefits of AI in the interpretation of medical images, accurate diagnoses, and more efficient clinical practice. However, challenges such as familiarizing medical students with AI, ethical issues, and training educators still need to be addressed. The ethical implementation of AI in medical education requires the development of clear guidelines and ongoing discussions about its use. The literature highlights the importance of research, innovation, and collaboration to harness the potential of AI in promoting better health outcomes. To achieve this, there needs to be a continued focus on areas such as simulating realistic medical interactions, developing safe and transparent systems, and strengthening the capacity of healthcare professionals to deal with this constantly evolving technology.