ABSTRACT
Artificial intelligence (AI) and Augmented Intelligence (AuI) have existed for decades but have only recently been applied to dentistry and incorporated into higher education for dental professionals. Early examples of the incorporation of AI into dental education suggest it can enhance students' learning and can be applied in pre-clinical and clinical instruction. AI can be used to support clinical decision-making for dental professionals, making radiographic interpretation more precise and consistent. This paper provides a brief overview of AI, highlights opportunities to improve higher education and provides brief case studies of individuals and organizations working to advance the quality of dental education using AI. Opportunities for the application of AI in dental education include the adoption of clinical decision support that can improve patient outcomes and overall quality of patient care; development of courses that assist students in learning enhanced radiographic interpretation, diagnosis and treatment planning; research collaborations with industry for product evaluation and future product developments; and practice administration in understanding the quality of the care being delivered at the school.
Subject(s)
Artificial Intelligence , Delivery of Health Care , Humans , ForecastingABSTRACT
To compare full and partial coverage crowns made with different CAD/CAM leucite reinforced ceramic blocks on fracture resistance and fractographic analysis. Full coverage and partial coverage crowns with finish line at 2 mm and 4 mm above the gingiva for molars made with IPS Empress CAD and Rosetta BM. After fatigue process, the fracture test and fractographic analysis were conducted. Although the fracture resistance of IPS Empress crowns did not show any statistical differences regardless of the design, both the partial coverage crowns fabricated using Rosetta BM showed significantly higher load at break and peak load than the full coverage crown. The crowns made with IPS Empress showed significantly higher fracture resistance than that made with Rosetta BM, regardless of the restorative design. The fracture resistance and fractographic analysis of CAD/CAM leucite reinforced full and partial coverage crowns were influenced by the restorative design of and material type.
