Skip to content
Open access

The training of health professionals in response to the challenges of teaching through artificial intelligence

Jul 2026 · MENTOR revista de investigación educativa y deportiva · 0 citations · 6 references

TL;DR

It was concluded that the integration of AI into the training of health professionals requires a deliberate pedagogical approach, the strengthening of faculty digital competencies, and specific institutional ethical frameworks.

Abstract

Artificial intelligence (AI) poses pedagogical challenges of particular relevance in the training of health professionals. The objective of this research was to explore the perceptions of university faculty in the health sciences regarding the challenges and opportunities of AI in teaching-learning processes in Ecuadorian universities. The study used a qualitative approach with an interpretive phenomenological design. Semi-structured interviews were conducted with 15 faculty members from health-related programs at four universities in Ecuador between February and April 2026. The analysis was carried out through thematic coding using Atlas.ti 23. Four categories emerged: (1) opportunities of AI in clinical teaching; (2) ethical and epistemological tensions; (3) gaps in faculty continuing education; and (4) proposals for curricular integration. Participants acknowledged the potential of AI to personalize learning and support diagnostic reasoning, but expressed concerns about technological dependence and the privacy of clinical data. It was concluded that the integration of AI into the training of health professionals requires a deliberate pedagogical approach, the strengthening of faculty digital competencies, and specific institutional ethical frameworks.

Read PDF

Similar papers

Open access Jul 2026

Artificial intelligence use in Health Sciences Education in Morocco: perception of Educators from selected tertiary health institutions

It is crucial to consider educators' perceptions and the potential outcomes when using AI in health sciences education, and addressing ethical concerns and providing appropriate training are crucial for ensuring successful and equitable AI integration in the curriculum.

N. Hachoumi, Mohamed Eddabbah, A. E. El Adib · 0 citations
Open access Jul 2026

Examining Clinical Educators’ Readiness for Artificial Intelligence in Medical Education: An Exploratory Qualitative Study

Insight is provided into developing AI-ready medical education models that balance technical competence with humanistic values and factors influencing AI adoption in medical training, including performance expectancy, effort expectancy, social influence, and facilitating conditions.

T. Murphy, Ginger Vaughn, Rob E. Carpenter et al. · 0 citations
Review Open access Jul 2026

The Perceptions of Faculty and Students Regarding Artificial Intelligence Usage in Education at an Academic Medical Center

Background: The emergence of generative artificial intelligence (AI), particularly with platforms like OpenAI, has brought about a paradigm shift in problem-solving and decision-making approaches. One sector that has notably embraced AI is education, where its integration has revolutionized traditional teaching and learning methods. While prior reports have highlighted the opportunities AI presents in education, they also emphasize the associated risks. Despite these concerns, proponents argue that incorporating AI into education could potentially better prepare students for evolving industry demands. Objective: The objective of this study is to explore the perceptions of faculty and students at the University of [blinded] regarding AI usage in education. Methods: The study, approved by the [blinded] Institutional Review Board, employed a mixed-methods design. Quantitative data were collected through a cross-sectional survey distributed to faculty and students. The survey included questions on demographics and perceptions of AI in education. Participants were also given the option to express interest in follow-up interviews. Interviews were conducted with willing participants to further explore their views on AI in education. Results: The quantitative data revealed that the majority of the faculty and students were aware of and somewhat familiar with AI tools. They generally perceived AI as a beneficial addition to education. However, concerns about AI included potential dependency and the ethical implications of AI-generated content. The follow-up interviews provided deeper insights, with participants expressing optimism about AI's potential to transform education while emphasizing the need for robust ethical guidelines and training to maximize its benefits. Conclusion: The findings suggest a positive perception of AI among both faculty and students at [blinded], highlighting its potential to enhance personalized learning and better prepare students for future industry demands. However, there is a clear need for comprehensive ethical guidelines and training to address concerns about dependency and the ethical use of AI. The study emphasizes the importance of balancing the benefits of AI with the associated risks to ensure its effective and responsible integration into educational practices. Continued research and dialogue are essential to navigate the evolving landscape of AI in education, ultimately aiming to enhance the learning experience and outcomes for students in healthcare education.   Keywords: Artificial intelligence, perceptions, education, survey, interview

X. Gordy · 0 citations
Open access 2026

Exploring Knowledge, Perceptions, and Preparedness for Artificial Intelligence among Health Informatics Students at the University of Hail: Qualitative Study

The research identifies widespread familiarity and generally positive attitudes toward AI tools such as ChatGPT and Google Gemini, which recognize AI as a supportive technology that enhances decision-making and precision medicine while emphasizing the continued importance of human oversight.

Muneef Alshammari · 0 citations
Review Open access Jun 2026

Artificial intelligence as a clinical tutor in telemedicine: Opportunities and challenges in medical education.

Future pediatricians actively engage with digital tools and AI, although confidence is higher in AI tasks than in integrated devices or clinical decision systems, which guided the development of updated courses to strengthen digital competence, practical skills, and critical evaluation of AI.

Inna I. Kucherenko, Oxana Vygovska, Vadym G Terentyuk et al. · 0 citations
Review Open access Aug 2026

Artificial Intelligence-Assisted Medical Education: Usability, Benefits and Ethical Evaluation

Although baseline knowledge of AI among medical students and faculty members was limited, both groups demonstrated strong positive attitudes and a clear demand for further training, highlighting the importance of integrating structured AI education into medical curricula to support the responsible and effective use of emerging technologies.

Ay Sıla Çaloğlu, Halid Durna, Zeynep Naz Ergen et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.