Review outlines logistics, financial, ethical, and regulatory aspects of AI in digital pathology, suggesting necessary infrastructure improvements.
Digital pathology (DP) is transforming how pathologists view and analyze diagnostic images, with the potential to improve the accuracy, speed, and efficiency of diagnoses. The adoption of Computational pathology (CP) and artificial intelligence (AI)‐based tools is widely seen as an opportunity to further improve diagnostic accuracy, increase operational efficiency, and improve patient outcomes. However, AI requires a robust foundational DP infrastructure, including digital pathology workflows, scalable IT infrastructure, and standardized data formats. We highlight the importance of establishing this infrastructure before AI systems can be safely integrated into daily clinical operations. This review article provides an overview of the key considerations for establishing a digital pathology practice with artificial intelligence. It addresses logistics, financial, ethical, and regulatory considerations governing the clinical use of digital pathology and artificial intelligence.
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Tang et al. (2026) studied this question.
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