PRESENT AND FUTURE IN DIGITAL ERA
DIGITAL ORTHODONTICS, Ruhi NALÇACI,Serpil ÇOKAKOĞLU, Editör, Turkiye Klinikleri, İstanbul, ss.287-298, 2026
- Yayın Türü: Kitapta Bölüm / Mesleki Kitap
- Basım Tarihi: 2026
- Doi Numarası: 10.5336/978-625-91269-4-4_p287
- Yayınevi: Turkiye Klinikleri
- Basıldığı Şehir: İstanbul
- Sayfa Sayıları: ss.287-298
- Editörler: Ruhi NALÇACI,Serpil ÇOKAKOĞLU, Editör
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
Rapid advances in digital technologies have profoundly transformed orthodontics, fundamentally reshaping diagnostic procedures, treatment planning, appliance fabrication, education, and patient follow up. Conventional methods are increasingly being replaced by digital workflows, with intra-oral scanners, cone-beam computed tomography (CBCT), CAD/CAM systems, three-dimensional printers, and artificial intelligence (AI)–based software now occupying a central role in orthodontic clinical practice. Three-dimensional data obtained from intraoral scanners and CBCT are converted into comprehensive virtual patient models through CAD/CAM software, enabling the development of more accurate, predictable, and personalized treatment plans. Three-dimensional imaging and facial scanning technologies allow detailed assessment of hard and soft tissues, facilitating more reliable analysis of esthetic and functional outcomes. Additive manufacturing technologies enable the high-precision fabrication of clear aligners, retainers, indirect bonding trays, surgical splints, nasoalveolar molding appliances, and patient-specific orthodontic devices. In particular, directly three-dimensionally printed clear aligners offer notable advantages in terms of simplified manu-facturing workflows, improved fit accuracy, and enhanced environmental sustainability. Although direct 3D-printed aligners offer the potential for more controlled biomechanical properties by re-ducing manufacturing steps, the biocompatibility and long-term clinical safety of printing materials remain important research concerns. Therefore, meticulous implementation of appropriate curing and post-processing protocols is essential. Artificial intelligence and machine learning–based systems play a complementary role as clinical decision-support tools in orthodontics, particularly in diagnos-tic assessment and treatment planning, prediction of crown and root movements, attachment design and identification of potential biological risks. In addition, augmented reality (AR), virtual reality (VR), and simulation technologies support safe, repeatable, and standardized skill acquisition in orthodontic education. Tele-orthodontic applications and remote patient monitoring systems further enhance treatment continuity, patient compliance, and overall clinical efficiency.In the future, ortho-dontic practice is expected to further evolve through artificial intelligence–assisted treatment plan-ning software, sensor-integrated smart aligners, shape-memory biomaterials, 4D printing approaches, artificial intelligence-driven force optimization systems, also virtual and augmented reality–based clinical and educational applications. Collectively, these advancements indicate that orthodontics is moving toward a more personalized, predictable, and biologically safe treatment paradigm.