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March 10, 2026Oral Surgery0 citations

Beyond the Black Box: Pathologist Responsibility and Pragmatic Explainability in AI ‐Driven Oral Pathology

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IAIbrahim AlsanieIBIbrahim O. Bello

Key Points

  • The research aims to clarify the role of pathologists in the context of AI applications in oral pathology and the necessity for explainability.
  • Analysis of existing literature on AI in oral pathology
  • Discussion on the implications of AI-driven decisions for pathologists
  • Examination of the concept of explainability in medical AI
  • Identified a gap in clear responsibilities for pathologists using AI tools
  • Highlighted the importance of explainability to enhance trust in AI decisions
  • Pointed out that collaborative efforts are needed to define accountability in AI applications

Abstract

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

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Cite This Study

Alsanie et al. (2026) studied this question.

synapsesocial.com/papers/69af963170916d39fea4e25chttps://doi.org/10.1111/ors.70039
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)2018 · 6,183 citations
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  5. 5Exploring the Role of Artificial Intelligence in Oral Pathology: Diagnostic and Prognostic Implications2025 · 6 citations