We’re proud to share that Lisa-Jean Clifford, President of Gestalt Diagnostics, was a contributing co-author on a newly published article in the Journal of Pathology Informatics. The article, “A Framework for the Evaluation and Implementation of Artificial Intelligence Tools in Pathology,” provides critical guidance on how to safely and effectively integrate AI technologies into pathology workflows.
This peer-reviewed framework – developed by a multidisciplinary group of pathology and health technology experts—outlines six key domains that healthcare institutions should consider when evaluating and implementing AI tools in clinical practice. These include clinical utility, workflow integration, regulatory compliance, technical validation, and risk management.
“As we work to build a future where AI can truly support diagnostic excellence, collaboration across disciplines is critical. I’m honored to have contributed to this framework alongside leaders who are shaping the responsible adoption of these tools.”
— Lisa-Jean Clifford, President, Gestalt Diagnostics
The article is designed to build trust and transparency around the use of AI in pathology, offering a structured model that emphasizes safety, reproducibility, fairness, and long-term sustainability. At a time when artificial intelligence is rapidly evolving, this work provides a meaningful foundation for labs and institutions seeking to navigate the complexities of digital transformation.
Read the full article on ScienceDirect:
A Framework for the Evaluation and Implementation of Artificial Intelligence Tools in Pathology
Journal of Pathology Informatics, Volume 16, 2025
https://www.sciencedirect.com/science/article/pii/S2153353925000379
Citation:
Srinidhi, C.L., Baxi, V.A., Fine, J.L., Clifford, L.J., et al. (2025). A Framework for the Evaluation and Implementation of Artificial Intelligence Tools in Pathology. Journal of Pathology Informatics, 16. https://doi.org/10.1016/j.jpi.2024.100216
Our Perspective:
Lisa-Jean’s contribution reflects the values we bring to our work every day – rigorous science, forward-thinking innovation, and a deep commitment to the future of pathology. As AI continues to reshape the diagnostic landscape, we remain focused on helping labs adopt these tools in ways that are ethical, efficient, and impactful.
Interested in exploring what AI could look like in your diagnostic environment?
Contact us to start the conversation. We’re here to support your journey toward responsible, scalable digital transformation.
