@article{nokey,

title = {Leveraging Generative Artificial Intelligence in Teaching, Scholarship and Dental Education: Use Cases and Reflections},

author = {Jonas Bianchi and Meixun Zheng},

url = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/ocr.12949?getft_integrator=scopus&utm_source=scopus},

doi = {10.1111/ocr.12949},

year  = {2025},

date = {2025-05-30},

urldate = {2025-05-30},

journal = {Orthodontics and Craniofacial Research},

pages = {1-8},

abstract = {The objective of this narrative review is to explore the role of generative artificial intelligence (genAI) in dental education, highlighting its emerging applications, potential benefits and implementation challenges. Since the launch of ChatGPT in 2022, genAI tools have gained traction in academic and clinical settings, enabling content generation, translation, summarisation, 

exam preparation and basic clinical planning. This review presents a series of illustrative use cases demonstrating how genAI has been integrated into teaching, research and clinical workflows in dental and orthodontic training. Each example underscores how AI can support faculty in course design, assist students with learning complex concepts and provide real time feedback for exam analysis and academic writing. However, the implementation of genAI is not without limitations. The review addresses common concerns, including misinformation, data privacy, fabricated references and ethical use in clinical contexts. Although the benefits of genAI are promising, this review emphasises the importance of human oversight and institutional policies to guide ethical and effective use. In conclusion, genAI offers valuable support in dental education when used responsibly. Continued dialogue among educators, students and policymakers is essential to ensure that AI tools are integrated thoughtfully 

and equitably into academic practice.},

keywords = {artificial intelligence, dental education, machine learning},

pubstate = {published},

tppubtype = {article}

}