Unlocking AI for Pathology: A Systematic Analysis of Development and Deployment Barriers
This Journal of Pathology review provides a structured analysis of why AI methods in computational pathology have not achieved widespread clinical adoption despite numerous publications reporting impressive performance. The authors identify obstacles spanning model development (data quality, annotation burden, generalization) and deployment (regulatory pathways, integration with laboratory information systems, pathologist trust). Practical recommendations and future research directions are proposed to accelerate translation.
The original study
Unleashing the potential of AI for pathology: challenges and recommendations.
- Authors
- Asif A, Rajpoot K, Graham S, Snead D, Minhas F, Rajpoot N
- Journal
- The Journal of pathology
- Type
- Journal Article, Review, Research Support, Non-U.S. Gov't
- PMID
- 37550878
Original abstract
Computational pathology is currently witnessing a surge in the development of AI techniques, offering promise for achieving breakthroughs and significantly impacting the practices of pathology and oncology. These AI methods bring with them the potential to revolutionize diagnostic pipelines as well as treatment planning and overall patient care. Numerous peer-reviewed studies reporting remarkable performance across diverse tasks serve as a testimony to the potential of AI in the field. However, widespread adoption of these methods in clinical and pre-clinical settings still remains a challenge. In this review article, we present a detailed analysis of the major obstacles encountered during the development of effective models and their deployment in practice. We aim to provide readers with an overview of the latest developments, assist them with insights into identifying some specific challenges that may require resolution, and suggest recommendations and potential future research directions. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.