This narrative review article explores Explainable AI, or AI that can explain the reasoning behind results. To help reduce black box limitations and increase confidence in applying AI to root canal treatment.
Key findings
- Reviews the technical basis and applications of XAI in dentistry and endodontics.
- It points out that model transparency is important to dentist and patient trust.
- Gather research gaps and directions before putting XAI into practice in the clinic.
Why this matters globally
Explaining AI decisions is an important prerequisite for the safety and governance of medical AI. This work connects this issue with the field of dentistry where the use of diagnostic imaging is increasing.
Thai researcher contribution
Thanaphum Osathanon from Chulalongkorn University co-synthesized a framework for using XAI in endodontics with an international research team.
Limitations to consider
It is a narrative review, not a clinical trial. and evidence of the use of XAI in real-world situations is limited.