The patient matters: a roundtable discussion on pathology in the era of digitization and AI

Digital pathology (DP) and artificial intelligence (AI) promise faster, more accurate cancer diagnostics, yet patient views remain undocumented. We explored perspectives of patient representatives on DP and AI implementation. A two-hour moderated roundtable with six Flemish cancer-patient advocates was recorded, transcribed and analyzed using reflexive thematic analysis. Participants anticipated improved accuracy, shorter turnaround times and stronger inter-laboratory collaboration. Trust in AI was high when algorithms were trained on diverse datasets and pathologists retained final responsibility. Clinical validity outweighed full algorithmic transparency, though ongoing explainability research was encouraged. Explicit mention of AI in reports was considered unnecessary if quality assurance was demonstrable. Privacy worries focused on potential insurer misuse rather than pseudonymized cloud transfer. Representatives requested future tools that translate technical reports into lay language and suggested questions to support shared decision-making. Patient representatives were generally supportive of the introduction of AI in pathology, provided that algorithms are clinically validated, trained on representative datasets, and deployed under clear professional oversight. Their comments specifically highlight expectations regarding human-AI collaboration, data governance, auditability, and communication about AI use. These AI-focused insights can help laboratories, vendors, and regulators align development and implementation with patient priorities.

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Publication Details

Journal
Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin
Published
2026-02-12
DOI
https://doi.org/10.1007/s00428-025-04372-3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

The patient matters: a roundtable discussion on pathology in the era of digitization and AI

Heleen Lauwers, Frederik Deman, Glenn Broeckx, Amelie Dendooven et al.
Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin
Artificial Intelligence in Healthcare and Education
article

The patient matters: a roundtable discussion on pathology in the era of digitization and AI

Heleen Lauwers, Frederik Deman, Glenn Broeckx, Amelie Dendooven, Roberto Salgado
article en

Abstract

Digital pathology (DP) and artificial intelligence (AI) promise faster, more accurate cancer diagnostics, yet patient views remain undocumented. We explored perspectives of patient representatives on DP and AI implementation. A two-hour moderated roundtable with six Flemish cancer-patient advocates was recorded, transcribed and analyzed using reflexive thematic analysis. Participants anticipated improved accuracy, shorter turnaround times and stronger inter-laboratory collaboration. Trust in AI was high when algorithms were trained on diverse datasets and pathologists retained final responsibility. Clinical validity outweighed full algorithmic transparency, though ongoing explainability research was encouraged. Explicit mention of AI in reports was considered unnecessary if quality assurance was demonstrable. Privacy worries focused on potential insurer misuse rather than pseudonymized cloud transfer. Representatives requested future tools that translate technical reports into lay language and suggested questions to support shared decision-making. Patient representatives were generally supportive of the introduction of AI in pathology, provided that algorithms are clinically validated, trained on representative datasets, and deployed under clear professional oversight. Their comments specifically highlight expectations regarding human-AI collaboration, data governance, auditability, and communication about AI use. These AI-focused insights can help laboratories, vendors, and regulators align development and implementation with patient priorities.

Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin
University of Antwerp (BE), Peter MacCallum Cancer Centre (AU), Ghent University Hospital (BE), Ghent University (BE), Ziekenhuisnetwerk Antwerpen Stuivenberg (BE)
Peace, Justice and strong institutions
Openalex Percentile: Top 59%
Artificial Intelligence in Healthcare and Education
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