Can Technology Make Pathology More Human? Part 3

Our panel discusses AI accountability, user trust, and desirable outcomes

By
Helen Bristow
September 9, 2026
20 min

The Pathologist

Overview

Experts discuss the evolving role of AI in pathology, emphasizing the need for trust between technology and pathologists. The conversation highlights the importance of human oversight in AI applications and the gradual integration of AI into pathology workflows, as noted by David West.

Background

The integration of AI into pathology raises critical ethical questions regarding the delegation of tasks traditionally performed by pathologists. As AI technologies advance, understanding the balance between automation and human judgment becomes essential for maintaining diagnostic accuracy and patient trust. This discussion is particularly relevant as the pathology workforce faces increasing demands and potential burnout, as highlighted by Syed T. Hoda.

Data Highlights

No numerical data or trial data was presented in the article.

Key Findings

Trust between pathologists and AI systems is crucial for successful integration, as emphasized by David West.
Pathologists will continue to hold ultimate responsibility for diagnoses, even with AI assistance, according to David Gibbs.
AI technologies should begin with narrowly defined tasks to build confidence before expanding capabilities, as suggested by the experts.
Pathologists must determine which tasks can be safely delegated to AI based on sufficient evidence, as stated by Syed T. Hoda.
There is a risk of overconfidence in AI as it becomes more widely adopted, as warned by David Gibbs.

Clinical Implications

Pathologists are encouraged to actively participate in the evolution of AI technologies within their field to ensure quality patient care, as discussed by the experts. Maintaining a balance between automation and human oversight is essential for preserving the integrity of pathology diagnoses.

Conclusion

The dialogue surrounding AI in pathology underscores the necessity for careful consideration of human oversight and trust as technology continues to evolve in the field, reflecting the insights shared by the experts.