{
  "abstract": "Artificial intelligence (AI) is one of the most disruptive innovations of the contemporary era, with a growing impact across numerous fields of knowledge, including medical education. Its integration into teaching and learning processes has brought about a paradigm shift, wherein intelligent digital tools complement and enhance the training of future healthcare professionals. From high-fidelity clinical simulation environments to adaptive learning platforms and predictive analytics systems, AI offers unprecedented opportunities to enrich education, personalize learning, and strengthen pedagogical decision-making. Here’s a clear and straightforward look of the current role of artificial intelligence in medical education, exploring its main applications, advantages, and the ethical and operational challenges it poses within academic and clinical contexts. As artificial intelligence becomes increasingly embedded in daily life, public concern has grown in parallel. These fears (often fuelled by a lack of understanding or by dystopian narratives portrayed in the media) reflect legitimate anxieties that warrant critical examination. While it is true that AI-driven automation is progressively replacing routine tasks in sectors such as manufacturing, logistics, and customer service, concerns about widespread job loss tend to be overstated. Rather than eliminating professions entirely, artificial intelligence often redefines job roles, shifting value toward cognitive, creative, and interpersonal skills. At the same time, new professional opportunities are emerging in fields related to the development, governance, and oversight of these technologies, such as data science, AI ethics, and the management of automated systems. The notion of an artificial intelligence system operating autonomously and beyond human control belongs largely to the realm of theoretical speculation and science fiction. While the concept of a ‘superintelligence’, a cognitive entity capable of vastly surpassing human intellectual capacities, has gained attention in media discourse and certain philosophical circles, it remains far removed from current technological realities. Some experts advocate for proactive reflection on such long-term risks, emphasizing the importance of establishing ethical and regulatory frameworks in advance. However, from a technical standpoint, today’s AI systems possess neither independent agency nor consciousness. They function based on algorithms trained with human-provided data and are directed toward objectives defined by human designers. Moreover, their operation is subject to continuous human oversight, validation, and adjustment. In this context, the fear of an uncontrollable AI is better understood as a hypothetical concern rather than an immediate, evidence-based threat. When it comes to privacy, the use of artificial intelligence technologies in surveillance systems, facial recognition, and large-scale personal data analysis presents tangible and legitimate risks. Intelligent platforms, with their ability to collect, process, and interpret vast amounts of sensitive information, have raised growing public concern about the potential erosion of individual rights and the misuse of data. Furthermore, various AI-based tools may be vulnerable to malicious or fraudulent use if not implemented with appropriate safeguards. Nevertheless, it is important to emphasize that not all AI applications are inherently intrusive. Evolving regulatory frameworks, such as the General Data Protection Regulation (GDPR) in the European Union, aim to ensure the responsible deployment of these technologies. In parallel, there is a growing movement toward the development of ethical, transparent, and human-centered AI systems that prioritize the protection of fundamental rights. While it’s natural to have concerns about AI, it is essential to recognize that the potential for malicious use does not lie inherently within the technology itself, but rather in the ethical frameworks, regulatory structures, and intentions of the human agents who design, implement, and govern it. When applied ethically, transparently, and in service of the public good, artificial intelligence can serve as a powerful tool to optimize processes, reduce operational burdens, and redirect professional efforts toward irreplaceable functions that require human judgment, interpersonal sensitivity, and the cultivation of meaningful relationships. AI is changing how regional anaesthesia concepts are taught, enabling the development of more interactive, clear, and effective presentations. Its application in education not only enhances the quality of teaching materials but also expands the possibilities for content personalization and adaptation to different student profiles ( figure 1). One big advantage of AI is the generation of advanced visual content. With intelligent tools, it is possible to create customized anatomical illustrations, simulated ultrasound images, or three-dimensional animations that accurately depict needle trajectories and anaesthetic spread. In addition, clinical images can be enhanced or edited to highlight key anatomical structures, making complex areas easier to understand. These tools enable the creation of original visual content, which is essential for avoiding legal issues related to copyright infringement. There are hundreds of applications that can be used for this purpose, each offering its own advantages and features. The choice among them typically depends on personal preference or the balance they provide between cost and functionality. The author relies on platforms such as Clipdrop (https://clipdrop.co), Leonardo AI (https://leonardo.ai/), and Sora (https://openai.com/es-ES/sora/) to achieve this purpose. AI also plays a significant role in simplifying and clarifying language. It can rewrite technical texts in more accessible language for learners at various levels, from undergraduate students to specialists. High-quality automatic translation is also available, which supports multilingual teaching and provides access to materials in foreign languages, thereby broadening the range of available resources. Among the available tools for translation and text enhancement in multiple languages, Deep-L (https://www.deepl.com/es/translator) stands out for its proven track record and the remarkable quality of its results. Text-to-speech technologies should also not be overlooked, as they enable natural-sounding reading of any content in various languages and even allow for voice cloning, adding a striking level of realism. In this field, I recommend Eleven Labs (https://elevenlabs.io), a platform that excels in voice quality and the versatility of its features. Another big plus is the use of virtual presentation assistants. These tools can generate presentation slides from basic texts or outlines and automatically insert summaries, glossaries, and key points to reinforce learning during lectures. The most well-known application for this purpose is Gamma (https://gamma.app), a platform that stands out for its ability to automatically generate visually engaging presentations using artificial intelligence. In terms of assessment, AI facilitates the automated creation of exams and interactive quizzes, including instant feedback. It can also analyze student performance, allowing instructors to tailor their content to individual needs and learning progress. This type of task can be easily carried out using well-known applications such as ChatGPT (https://chatgpt.com/) or Copilot (https://copilot.microsoft.com) And last but not least, AI helps a lot in research support and continuous content updating. Through the automated analysis of recent scientific publications, it can summarize and highlight the most relevant evidence, as well as suggest emerging techniques that should be incorporated into the teaching of regional anesthesia. For this purpose, I would suggest leveraging two particularly useful platforms: Perplexity (https://www.perplexity.ai/) and Open Evidence (https://www.openevidence.com/)Astbract FT37 Figure 1Recommended AI-powered tools for presentation creation and enhancement",
  "authors": [
    {
      "affiliations": [
        "Anesthesia and Chronic Pain Treatment, H. Universitario Virgen de la Arrixaca and Quirónsalud Murcia, Murcia, Spain"
      ],
      "name": "Vicente Roques"
    }
  ],
  "title": "FT37 Improved presenatations",
  "uid": "6a1f071f-14b3-50cf-ada8-336cec26be32"
}