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Health·P Space·Evidence-backed problem·Published 2026-09-22

Teaching AI-Informed Diagnostic Reasoning in Dental Education: A Conceptual Framework

Abstract: Artificial intelligence (AI) is increasingly present in dental education and clinical practice through systems that support image interpretation, lesion detection, risk estimation, treatment planning, documentation, and access to clinical information. Existing curriculum frameworks appropriately emphasize foundational knowledge, ethical use, governance, and human-centered practice. Broad AI literacy, however, does not by itself teach students how to reason when an algorithmic output influences diagnosis or manag…

TRV-2026-1165Peer-reviewedPermanent record — cite & verify
Teaching AI-Informed Diagnostic Reasoning in Dental Education: A Conceptual Framework

"22-0008-010 Camp Lejeune" by NavyMedicine is marked with Public Domain Mark 1.0. To view the terms, visit https://creativecommons.org/publicdomain/mark/1.0/.

The quick read

Artificial intelligence (AI) is increasingly present in dental education and clinical practice through systems that support image interpretation, lesion detection, risk estimation, treatment planning, documentation, and access to clinical information. Existing curriculum frameworks appropriately emphasize foundational knowledge, ethical use, governance, and human-centered practice.

Broad AI literacy, however, does not by itself teach students how to reason when an algorithmic output influences diagnosis or management. This perspective proposes a conceptual framework for teaching AI-informed diagnostic reasoning in dental education.

Main points
  • Existing curriculum frameworks appropriately emphasize foundational knowledge, ethical use, governance, and human-centered practice.
  • Broad AI literacy, however, does not by itself teach students how to reason when an algorithmic output influences diagnosis or management.
  • This perspective proposes a conceptual framework for teaching AI-informed diagnostic reasoning in dental education.
Problem

Artificial intelligence (AI) is increasingly present in dental education and clinical practice through systems that support image interpretation, lesion detection, risk estimation, treatment planning, documentation, and access to clinical information.

Sources

Reader signal

How should this claim be treated?

The debate