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Gusarov A.M.

First Moscow State Medical University named after I.M. Sechenov

Semenova Yu.A.

Smolensk State Medical University

Fomin M.S.

Sechenov First Moscow State Medical Univesity

Abin M.S.

SBEI HPE Kuban State Medical University of the MON of the Russia

Nassonov B.N.

First Moscow State Medical University named after I.M. Sechenov

Atabaeva Z.U.

North Ossetian State Medical Academy

Dudarov A.V.

Kabardino-Balkarian State University named after Kh.M. Berbekov

Artificial intelligence and 3D planning in reconstructive maxillofacial surgery. (A systematic review PRISMA)

Authors:

Gusarov A.M., Semenova Yu.A., Fomin M.S., Abin M.S., Nassonov B.N., Atabaeva Z.U., Dudarov A.V.

More about the authors

Journal: Russian Journal of Stomatology. 2025;18(4): 67‑74

DOI: 10.17116/rosstomat20251804167

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Table of contents

ARTIFICIAL INTELLIGENCE AND 3D PLANNING IN RECONSTRUCTIVE MAXILLOFACIAL SURGERY. (A SYSTEMATIC REVIEW PRISMA)
ARTIFICIAL INTELLIGENCE AND 3D PLANNING IN RECONSTRUCTIVE MAXILLOFACIAL SURGERY. (A SYSTEMATIC REVIEW PRISMA)

To cite this article:

Gusarov AM, Semenova YuA, Fomin MS, Abin MS, Nassonov BN, Atabaeva ZU, Dudarov AV. Artificial intelligence and 3D planning in reconstructive maxillofacial surgery. (A systematic review PRISMA). Russian Journal of Stomatology. 2025;18(4):67‑74. (In Russ.)
https://doi.org/10.17116/rosstomat20251804167

Подписка 2026 Российская стоматология (Russian Journal of Stomatology)
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

BACKGROUND

Digital technologies and artificial intelligence (AI) are increasingly being integrated into maxillofacial surgery, providing a higher level of precision, safety, and treatment personalization. Three-dimensional (3D) planning, CAD/CAM, and 3D printing contribute to improving the predictability of reconstructive procedures. Despite the growing body of evidence, there remains a need to systematize research results related to the implementation of AI and 3D technologies in this field.

OBJECTIVE

To summarize current evidence on the application of artificial intelligence and three-dimensional planning technologies in reconstructive and orthognathic maxillofacial surgery.

MATERIALS AND METHODS

A systematic review was conducted in accordance with PRISMA guidelines. Publications from 2015 to 2025 were searched in the Cochrane Library, PubMed, Embase, and eLIBRARY.ru databases. Clinical trials, case reports, experimental study, a narrative reviews, systematic reviews, meta-analyses, and randomized controlled trials were included and assessed using AMSTAR 2 and ROB 2.0 tools.

RESULTS

Out of 514 identified publications, 43 studies met the inclusion criteria, 23 of which demonstrated high or moderate methodological quality. The use of CAD/CAM, virtual surgical planning, and machine learning algorithms was shown to improve the accuracy of bone segment positioning, reduce operative time and intraoperative errors, and enhance functional and aesthetic outcomes, as well as patients’ quality of life.

CONCLUSION

The implementation of AI and 3D technologies in maxillofacial surgery significantly enhances the efficiency and predictability of reconstructive procedures. However, further clinical validation and the development of unified application standards are required.

Keywords:

artificial Intelligence
three-dimensional printing
maxillofacial surgery
systematic review
AI
3D surgery

Authors:

Gusarov A.M.

First Moscow State Medical University named after I.M. Sechenov

Semenova Yu.A.

Smolensk State Medical University

Fomin M.S.

Sechenov First Moscow State Medical Univesity

Abin M.S.

SBEI HPE Kuban State Medical University of the MON of the Russia

Nassonov B.N.

First Moscow State Medical University named after I.M. Sechenov

Atabaeva Z.U.

North Ossetian State Medical Academy

Dudarov A.V.

Kabardino-Balkarian State University named after Kh.M. Berbekov

Received:

20.10.2025

Accepted:

26.11.2025

Close metadata

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