CV
Professor Uribe focuses on the use of data science, machine learning, deep learning and artificial intelligence techniques to improve the diagnosis and prognosis of various oral pathologies, such as caries, oral cancer and temporomandibular disorders. In addition, his research also involves developing and testing novel biomaterials for the prevention and treatment of oral diseases, focusing on minimally invasive and non-invasive dentistry. As an Associate Editor of the J Dent Res and Dent Traumatol, Prof Uribe is a strong advocate of open science principles in research.
Artificial Intelligence in Dental Education: Opportunities and Challenges
Exploring the Potential and Navigating the Complexities SC Forum Artificial intelligence (AI) and generative AI models have the potential to have a significant impact on dental education. This presentation will analyse recent research, current guidelines and potential applications to explore the promise of AI in improving dental education. Participants will gain a balanced understanding of the current AI scenario (traditional and generative AI), applications, solutions, benefits and limitations of AI, enabling them to make informed decisions about its potential implementation in dental education.
Learning objectives
- Differentiate between traditional and generative AI and understand their potential applications in dental education: Participants will learn the fundamental differences between traditional AI (like expert systems and machine learning) and generative AI (such as large language models like ChatGPT) and will explore the presentation of current apps and technologies.
- Analyze recent AI-based dental education research and explore guidelines for ethical and effective implementation: Participants will explore research on the effectiveness of AI in dental education, focusing on student outcomes, cost effectiveness and faculty perceptions. Findings from the Global Survey of Dental Educators will provide actionable insights for implementation.
- Evaluate the potential benefits and limitations of AI in dental education for informed decision-making: Analyze potential advantages such as enhanced personalization, improved assessment methods, and increased student engagement. Critically examine limitations, including potential algorithmic bias, risks of over-reliance on AI, and the need to consider the impact on the development of essential clinical skills.