Conocimiento sobre el uso del software para diagnosticar caries dental en estudiantes de la Universidad Católica Santiago de Guayaquil semestre B-2025.

Abstract

Introduction: Artificial intelligence (AI) has transformed dentistry by improving diagnostic accuracy and treatment planning. In the diagnosis of dental caries, AI-based software represents an innovative tool; however, its adoption is limited due to insufficient knowledge and training among students and professionals. General objective: To determine the level of knowledge of dental students at UCSG regarding the use of artificial intelligence software for the detection of dental caries, in order to provide evidence for future training strategies. Materials and methods: A quantitative, cross-sectional, descriptive, and non-experimental study was conducted with 170 students from the fifth to tenth semester, selected through convenience sampling. A structured survey validated by experts was administered. The data were analyzed using descriptive statistics with frequencies and percentages. Results: 72.4% had not received training in dental software, and 50% were unaware of AI-based caries diagnostic programs. 70.6% reported a low level of knowledge of the Pearl software, and 79.4% were unfamiliar with any AI-assisted diagnostic system. 58.8% never use these tools, and 50% do not know how to interpret their results. Despite this, 48.8% consider the software useful, and 35.3% very useful. The main limitations were lack of equipment (42.9%) and training (25.9%). Conclusions: There is a low level of knowledge and use of AI among students; however, its usefulness is recognized, highlighting the need to strengthen technological training in dentistry.