Int J Stomatol

Int J Stomatol ›› 2022, Vol. 49 ›› Issue (2): 125-131.doi: 10.7518/gjkq.2022041

• Expert Forum •     Next Articles

Exploration and clinical application of artificial intelligence in orthognathic surgery

Luo En()   

  1. State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Dept. of Orthognathic and Temporomandibular Joint Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
  • Received:2021-12-02 Revised:2022-01-10 Online:2022-03-01 Published:2022-03-15
  • Contact: En Luo E-mail:luoen521125@sina.com
  • Supported by:
    Key Research and Development Program of Sichuan Province(22ZDYF1734);Program of Science and Technology Department of Chengdu City(2021-YF05-01627-SN)

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Abstract:

Orthognathic surgery is the most common treatment for malocclusion deformity. Orthognathic surgery has entered the digital stage, but it has many problems, such as complicated manual operation, low reproducibility, low efficiency, time consuming, and high error rate of manual design. Artificial intelligence is an effective method and research frontier to solve these problems. Our research team explored an algorithm model by artificial intelligence and established a software system for the diagnosis and surgical design for patients with malocclusion deformity. Relevant clinical trials were conducted to verify its feasibility and accuracy. The artificial intelligence software system for orthognathic surgery is expected to be applied to assist the diagnosis and treatment of dentofacial deformity.

Key words: orthognathic surgery, dentofacial deformity, artificial intelligence, digital surgery

CLC Number: 

  • R782.2

TrendMD: 

Fig 1

The flow diagram of automatic identification of marks"

Fig 2

The main interface of AIPMS software"

Fig 3

The measurement types in AIPMS software"

Fig 4

The process of artificial intelligence malocclusion deformity diagnosis based on XGBoost algorithm"

Fig 5

The accuracy evaluation of different diagnostic items based on XGBoost algorithm"

Fig 6

The ROC curve of judging the development and deviation of maxilla and mandible"

Fig 7

The intelligent design of orthognathic surgery based on artificial bee colony algorithm"

Tab 1

The difference of cephalometric results after operation between artificial intelligence design and practical design $\bar{x}\pm s$"

测量项目 实际方案结果 智能方案结果
Or-U6（R）/Or-U6（L）/% 99.6±1.3 100.1±1.0
上颌偏斜/° -0.3±0.5 0.1±0.3
Go-Me（R）/Go-Me（L）/% 99.6±1.2 99.5±0.9
Pog-MSP/mm 0.15±0.70 -0.23±0.20
??平面角（Y-Z平面）/° 10.1±2.4 12.6±1.2
S-N-A/° 80.4±2.5 81.5±1.3
S-N-B/° 79.6±2.2 79.3±1.5
A-N-B/° 2.0±1.3 2.6±0.6
S-N-Pog/° 78.6±2.3 80.5±1.6
N-A-Pog/° 5.1±2.6 5.4±1.8
N-ANS/ANS-Me/% 82.4±2.0 82.7±1.2

Tab 2

The difference of spatial movement between artificial intelligence design and practical design for 30 patients $\bar{x}\pm s$"

部位 ΔX轴移动/mm ΔY轴移动/mm ΔZ轴移动/mm ΔX轴旋转/° ΔY轴旋转/° ΔZ轴旋转/°
上颌 -1.3±2.1 0.7±1.4 2.5±3.1 -0.6±1.0 0.4±1.3 1.2±2.0
下颌 -2.1±3.5 1.9±2.8 -2.0±4.3 -1.8±2.3 1.3±1.8 1.8±2.2
颏部 -1.8±2.5 0.3±1.0 4.2±3.6 — — —
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