Research Article

Artificial Intelligence for Classifying and Archiving Orthodontic Images

Table 1

Clinical and demographic characteristics of included patients.

CharacteristicInternal dataset ()External dataset ()
Training ()Validation ()

Age in years29 (4-62)27.9 (4-58)28.7 (4-60)
Sex
 Male248 (27.6)30 (30)32 (32)
 Female652 (72.4)70 (70)68 (68)
Photograph classification
 Frontal at rest950 (7.3)100 (7.1)110 (7.7)
 Frontal smile1,012 (7.8)100 (7.1)99 (7)
 Oblique at rest896 (6.9)100 (7.1)109 (7.7)
 Oblique smile906 (7)100 (7.1)123 (8.7)
 Profile at rest1,002 (7.7)100 (7.1)87 (6.1)
 Profile smile935 (7.2)100 (7.1)90 (6.3)
 Intraoral right976 (7.5)100 (7.1)102 (7.2)
 Intraoral front899 (6.9)100 (7.1)109 (7.7)
 Intraoral left1,009 (7.7)100 (7.1)107 (7.5)
 Maxillary occlusal828 (6.4)100 (7.1)98 (6.9)
 Mandibular occlusal932 (7.2)100 (7.1)97 (6.8)
 Overjet854 (6.6)100 (7.1)89 (6.3)
Radiograph classification
 Lateral cephalogram900 (6.9)100 (7.1)100 (7)
 Panoramic radiograph900 (6.9)100 (7.1)100 (7)
Total number of images12,9991,4001,420

Values are , (%), or median (range).