Artificial intelligence in the Otorhinolaryngology class

Abstract

Introduction: The development of curricular changes for the training of future doctors in the use of Artificial Intelligence includes the perception that medical students have about this technology and medical students are not always familiar with Artificial Intelligence. Objective: to analyze the academic performance between two groups of students who took the Otorhinolaryngology subject in the sixth year of the medical degree, one that was exposed to Artificial Intelligence and the other to the traditional method, National Autonomous University of Honduras, 2023. Methods: quantitative, correlational study, sample of 34 students, through non-probabilistic convenience sampling, statistical analysis was carried out with SPSS version 25 doing descriptive analysis of central tendency, grouping, and inferential with p value = 0.05 using Pearson's R test.Results: 15 (44.1%) of the students had been studying medicine for 5 years; before taking the class, 2 (5.9%) of the students did not know what the Otorhinolaryngology specialty consisted of; There is a correlation between the curricular approach and the methodology of the subject, so that the student can learn, with a p value of 0.006 (0.005-0.008); there is a correlation between the level of knowledge acquired in Otorhinolaryngology and the methodology of the subject, p value of 0.042 (0.038-0.046). Conclusions: There is a significant correlation between the curricular approach and the methodology of the subject, which directly influences the student's learning process. Similarly, the level of knowledge acquired in Otorhinolaryngology is closely related to the methodology used in its teaching. In the current context, Artificial Intelligence does not replace traditional teaching given by a professor in the Medicine degree and even less so in clinical areas such as Otorhinolaryngology, where practical experience, direct observation and interaction with the patient are essential for the development of medical skills. However, it is undeniable that AI has become a valuable complementary tool, optimizing access to information, facilitating self-directed learning and offering interactive resources that enrich theoretical understanding. In addition, it allows teaching to be personalized according to different learning styles, improving knowledge retention and the overall educational experience.

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