Artificial Intelligence in Minimally Invasive Procedures


Creative Commons License

Öztaş Şahiner G. A.

THE FUTURE OF DENTISTRY AI APPLICATIONS AND CHALLENGES, Funda Bayındır, Editör, Turkiye Klinikleri, Ankara, ss.118-121, 2026

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2026
  • Yayınevi: Turkiye Klinikleri
  • Basıldığı Şehir: Ankara
  • Sayfa Sayıları: ss.118-121
  • Editörler: Funda Bayındır, Editör
  • Atatürk Üniversitesi Adresli: Evet

Özet

Artificial intelligence (AI) and robotics are rapidly transforming modern healthcare, and dentistry is at the forefront of this technological revolution. Minimally invasive procedures, which emphasize precision and tissue preservation, benefit greatly from the integration of AI and robotics. These technologies not only enhance surgical accuracy but also reduce recovery times, postoperative pain, and infection risks, thereby improving overall patient outcomes.

This paper explores the role of AI and robotics in minimally invasive dentistry, with a particular focus on prosthodontics and oral implantology. In prosthodontics, AI applications span diagnosis, treatment planning, and the design and fabrication of restorations. AI-assisted CAD/CAM systems and 3D printing improve the accuracy, efficiency, and customization of crowns, bridges, removable partial dentures, and maxillofacial prostheses. Moreover, AI-based aesthetic planning tools, such as digital smile design, provide clinicians with data-driven guidance to achieve optimal results with minimal intervention.

In implantology, AI improves preoperative assessment by analyzing CBCT scans and identifying optimal implant placement sites. Digital surgical guides and robot-assisted systems such as YOMI provide unmatched precision, reducing surgical complications and human error. Furthermore, AI-based algorithms can predict implant success rates, optimize occlusal schemes, and assist in the early detection of peri-implantitis through continuous monitoring of peri-implant tissues.

Despite its promise, the integration of AI and robotics into dentistry faces challenges. High costs, limited accessibility, and the steep learning curve for dental professionals remain barriers. Ethical issues such as data privacy, security, and algorithmic bias must also be addressed. Additionally, concerns regarding the over-reliance on technology and the potential loss of human touch highlight the need for balanced implementation.

Future directions include enhancing AI systems for greater safety and adaptability, integrating AI education into dental curricula, and developing standardized protocols and open-source clinical databases. Ultimately, the responsible adoption of AI and robotics has the potential to revolutionize minimally invasive dental care by making treatments more precise, personalized, and patient-centered.