Skip to main content

Table 1 Accuracy and consistency of AI-driven, AI-refined and semi-automatically registered orofacial virtual patient per facial region

From: Automated orofacial virtual patient creation using two cohorts of MSCT vs. CBCT scans

Registration mode

% Correction needed

Consistency

P value CT vs. CBCT

Upper facial third

Middle facial third

Lower facial third

CT

CBCT

CT

CBCT

CT

CBCT

CT

CBCT

No

Minor

Major

No

Minor

Major

No

Minor

Major

No

Minor

Major

No

Minor

Major

No

Minor

Major

AI-driven

100

0

0

100

0

0

100

0

0

100

0

0

30

60

10

20

40

40

1

1

> 0.999

AI-refined

100

0

0

100

0

0

100

0

0

100

0

0

30

60

10

20

40

40

1

1

> 0.999

SAR

100

0

0

100

0

0

100

0

0

100

0

0

30

60

10

20

40

40

0.997

0.895

> 0.999

 

P value

P value

P value

  

CT

CBCT

CT

CBCT

CT

CBCT

  

AI-driven vs. SAR

> 0.999

> 0.999

> 0.999

> 0.999

> 0.999

> 0.999

  

AI-refined vs. SAR

> 0.999

> 0.999

> 0.999

> 0.999

> 0.999

> 0.999

  

AI-driven vs. AI refined

> 0.999

> 0.999

> 0.999

> 0.999

> 0.999

> 0.999

  
  1. AI: Artificial intelligence, SAR: Semi-automated registration, CT: Computed tomography, CBCT: Cone beam computed tomography, vs.: versus
  2. Note that no correction needed = < 1 mm, Minor correction needed = 1–3 mm, Major correction needed = > 3 mm