Felipe Aluja-Jaramillo, Departamento de Radiología, Hospital Universitario San Ignacio; Facultad de Medicina, Pontificia Universidad Javeriana; Bogotá, Colombia
Ma. Lucía Morillo-Peña, Semillero de Investigación en Radiología e Imágenes Diagnósticas. Pontificia Universidad Javeriana, Bogotá, Colombia
Omar A. Pantoja-Burbano, Departamento de Radiología, Hospital Universitario San Ignacio, Bogotá, Colombia
Carlos A. Corredor-Silva, Departamento de Radiología, Hospital Universitario San Ignacio; Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia
Emmanuel Salinas-Miranda, Asociación Colombiana de Radiología, Bogotá, Colombia; Lunenfeld-Tanenbaum Research Institute, University Health Network, Toronto, Canadá;
Michel Hernández-Restrepo, Asociación Colombiana de Radiología. Bogotá, Colombia; Departamento de Radiología e Imágenes Diagnósticas, Hospital Universitario La Samaritana, Bogotá; Carrera de Radiología, Universidad de La Sabana, Cundinamarca. Colombia
Introduction: As medical education advances and evolves, teachers encounter challenges in keeping up, a situation that is particularly pronounced in developing countries. Radiology professors are progressively cognizant of the imperative to incorporate artificial intelligence (AI) in residency programs. Objective: To assess the perception of radiology residents and professionals concerning AI, its utilization, instruction, and learning in radiology. Material and methods: A cross-sectional perception study was conducted using a survey of radiologists and students of radiology graduate programs (residents) in Colombia. One-hundred and one participants were surveyed, and descriptive statistics were used to analyze demographic data and general trends in the survey. Results: Respondents acknowledged being either unfamiliar (n = 39, 41%) or moderately familiar (n = 40, 42%). Furthermore, 67% of respondents reported that they have not used AI for academic or educational purposes, while 82% of respondents indicated their willingness to use AI in education. Conclusions: The study’s findings underscore the necessity for the implementation of strategies that incorporate AI to enhance the student experience and ensure the proper training of educators in its application.
Keywords: Artificial Intelligence. Postgraduate education. Medical education.
