AI and Machine Learning in Dentistry are transforming modern dental practices by enhancing diagnostic accuracy, treatment efficiency, and overall patient outcomes. AI-driven tools analyze radiographs and intraoral images with exceptional precision, enabling early detection of caries, periodontal disease, and other oral pathologies. Machine learning algorithms assist in treatment planning by predicting patient-specific responses and optimizing restorative and orthodontic solutions. Automated charting and predictive analytics streamline clinical workflows, reducing administrative burdens and improving decision-making. Beyond diagnostics, AI and Machine Learning in Dentistry are advancing robotic-assisted procedures and enabling personalized treatment strategies. These technological innovations not only enhance clinical efficiency but also establish new standards in patient care, making AI an essential component of the future of dentistry.
Title : Efficacy of a biomin F toothpaste compared to conventional toothpastes in remineralisation and dentine hypersensitivity: An overview
David Geoffrey Gillam, Queen Mary University of London, United Kingdom
Title : Dental treatment of 1,500 young children under general anesthesia
Jaap Boehmer, Rijnstate Hospital, Netherlands
Title : Knowledge and attitudes of dental professionals in the evaluation of Molar Incisor Hypomineralisation (MIH): Awareness, diagnosis and treatment approaches: An overview
David Geoffrey Gillam, Queen Mary University of London, United Kingdom
Title : Beyond symptoms: Interdisciplinary, neurofunctional approach in orthodontic therapy – A case-based perspective
Monika Osko, Group Dental Practice Marcin Ośko, Monika Ośko sp.c., Poland
Title : The role of the TMJ in long-term stability after orthognathic surgery
Eduardo Rubio, University of Buenos Aires, Argentina
Title : Sustainability awareness and practices in dental laboratories of Saudi Arabia
Rayan Ibrahim H Binduhayyim, King Khalid University, Saudi Arabia