Who Is Really Deciding? AI and Clinical Judgement in Dentistry

The integration of AI in dental practice, primarily through AI-enabled software, influences clinical workflows by promoting rapid decision-making and potentially increasing bias stemming from its automation bias. While these systems demonstrate high accuracy in standardised evaluations, their real-world performance, particularly in atypical cases, remains less validated. This reliance on AI necessitates a broader AI literacy in clinicians, focusing on ethical awareness and critical judgement rather than solely technical proficiency. Ongoing evaluation of AI systems must encompass their impact on clinical reasoning, and dental education should prepare professionals to discern when to slow down their intuitive judgements in response to algorithmic insights to enhance clinical accountability and trust.

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Publication Details

Journal
International Dental Journal
Published
2026-03-12
DOI
https://doi.org/10.1016/j.identj.2026.109476
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Who Is Really Deciding? AI and Clinical Judgement in Dentistry

Owais A. Farooqi
International Dental Journal
Artificial Intelligence in Healthcare and Education
article

Who Is Really Deciding? AI and Clinical Judgement in Dentistry

Owais A. Farooqi
article en

Abstract

The integration of AI in dental practice, primarily through AI-enabled software, influences clinical workflows by promoting rapid decision-making and potentially increasing bias stemming from its automation bias. While these systems demonstrate high accuracy in standardised evaluations, their real-world performance, particularly in atypical cases, remains less validated. This reliance on AI necessitates a broader AI literacy in clinicians, focusing on ethical awareness and critical judgement rather than solely technical proficiency. Ongoing evaluation of AI systems must encompass their impact on clinical reasoning, and dental education should prepare professionals to discern when to slow down their intuitive judgements in response to algorithmic insights to enhance clinical accountability and trust.

International Dental JournalVol. 76(3)
VA Greater Los Angeles Healthcare System (US)
Openalex Percentile: Top 27%
Artificial Intelligence in Healthcare and Education
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