TRV-2026-2261Certified recordPeer-reviewed

Remote Monitoring or Autonomous Triage: Can Artificial Intelligence Safely Decide When Orthodontic Patients Need In-Person Care?

Aim and objectives: To examine the diagnostic scope, accuracy and limitations of Artificial Intelligence (AI)-based remote orthodontic monitoring for automated triage and to assess whether such systems can safely decide when orthodontic patients need in-person care. Methods: Narrative review of PubMed literature on AI-driven remote monitoring and tele-orthodontics, focusing on diagnostic performance, triage applications and the limitations relevant to distinguishing routine virtual review from urgent in-person c…

Health · The Trace — both readings · certified 2026-10-26 · v1 · article view · machine-readable

Current reading — gain

AI detects visually obvious orthodontic conditions with high specificity, and early triage trials show faster screening.

Current reading — problem

AI sensitivity is variable and often low for periodontal changes and tooth-level tracking, so it cannot yet safely decide alone when patients need in-person care.

What this doesn’t fix

The work is a narrative review of existing literature rather than a new trial, and the evidence it summarizes is limited by single-center models and early-stage triage trials.

Evidence

Reader signal

How should this claim be treated?

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Truvace Impact Record TRV-2026-2261, v1: “Remote Monitoring or Autonomous Triage: Can Artificial Intelligence Safely Decide When Orthodontic Patients Need In-Person Care?.” Truvace, 2026-10-26. /record/TRV-2026-2261 (accessed at citation time). sha256 1100aa051d2603dc…

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