Table 3.
Assessment of Strength of Evidence.
| Outcome | Inconsistency | Indirectness | Imprecision | Risk of Bias | Publication Bias | Strength of Evidence |
|---|---|---|---|---|---|---|
| Application of AI for determining working length [25,26,38] | Not Present | Not Present | Not Present | Present | Not Present | ⨁⨁⨁◯ |
| Application of AI for determining vertical root fracture [27,29,30,32,41,60] | Not Present | Not Present | Not Present | Present | Not Present | ⨁⨁⨁◯ |
| Application of AI for detecting pulpal diseases [28,42] | Not Present | Not Present | Not Present | Present | Not Present | ⨁⨁⨁◯ |
| Application of AI for, detecting and diagnosing periapical lesions [31,35,36,37,40,43,44,49,50,52,54,55,61] | Not Present | Not Present | Not Present | Present | Not Present | ⨁⨁⨁◯ |
| Application of AI for determining root morphology [33,39,45,56] | Not Present | Not Present | Not Present | Not Present | Not Present | ⨁⨁⨁⨁ |
| Application of AI for determining root canal failures [51,57,58] | Not Present | Not Present | Not Present | Not Present | Not Present | ⨁⨁⨁⨁ |
| Application of AI for predicting postoperative pain [42] | Not Present | Not Present | Not Present | Present | Not Present | ⨁⨁⨁◯ |
| Application of AI for predicting case difficulty [34] | Not Present | Not Present | Not Present | Not present | Not Present | ⨁⨁⨁⨁ |
| Application of AI for determining thrust force and torque in canal preparation [46] | Not Present | Not Present | Not Present | Present | Not Present | ⨁⨁⨁◯ |
| Application of AI for segmenting pulp cavities [47] | Not Present | Not Present | Not Present | Not Present | Not Present | ⨁⨁⨁⨁ |
| Application of AI in curative effect after treatment [53,59] | Not Present | Not Present | Not Present | Not Present | Not Present | ⨁⨁⨁⨁ |
⨁⨁⨁⨁ = high evidence; ⨁⨁⨁◯ = moderate evidence.