Expert consensus on the clinical application of artificial intelligence in the design of fixed dental restorations
Year: 2026
Type: article
Abstract: Prosthodontics is rapidly entering the digital era, with computer-aided design and manufacturing (CAD/CAM) soon becoming the mainstream method for fixed restoration design. Recent advances in image recognition, data analytics, and decision systems are accelerating the use of artificial intelligence (AI), shifting workflows from simple automation to adaptive, learning-based design. Nevertheless, clear clinical guidance remains limited. This expert consensus sets out core principles, technology categories, and priority use cases for AI in fixed restorations, and proposes Standardized Operating Procedures that span from preoperative planning, digital impression processing, tooth preparation evaluation, to functional design and personalized esthetic design. It also defines quality control checkpoints and ethical safeguards that highlight the central role of the clinician in reviewing and validating AI outputs. Recommendations are provided for data governance, including security, privacy, and auditability. Finally, the document outlines near-term development needs such as interoperable data standards, transparent model reporting, and clinically oriented validation metrics. The goal is to support standardized, safe, and effective clinical adoption of AI in fixed dental restorations.
Source: Dental Research
Authors: Yue Feng, Junting Gu, Xinquan Jiang, Haiyang Yu, Yongsheng Zhou, Qingsong Jiang, Yan Wang, Hongbing Liao, Jiefei Shen, Chun Xu, Yi Zhou, Hao Yu, Kai Jiao, Hongbo Li, Ming Fang, Ling Zhang, Yan Dong, Jing Li, Francesco Guido Mangano, Jimmy Londono, Franklin R Tay, Fu Wang, Jihua Chen, Lina Niu
Institutions: Stomatology Hospital, Air Force Medical University, Fudan University, Shanghai Stomatological Hospital, Fujian Medical University, Sichuan University, State Key Laboratory of Oral Diseases, Peking University, Wuhan University, Peking University School and Hospital of Stomatology, Capital Medical University, Sun Yat-sen University, Hospital of Stomatology, Sun Yat-sen University, Guangxi Medical University, Shanghai Jiao Tong University, Shanghai Ninth People's Hospital, Chinese PLA General Hospital, Sechenov University, University of Hong Kong, Augusta University
Language: English
Subfield: Orthodontics
Field: Dentistry
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7166024866