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[Implementation of free and in-house artificial intelligence tools: Experience and examples in a digital pathology
Arnaud Uguen1, Marion Le Rochais1, Glen Le Flahec2
1CHU de Brest, service d'Anatomie et Cytologie Pathologiques, Brest F-29220, France; Université de Brest, Inserm, CHU de Brest, LBAI, UMR1227, Brest, France.
None:
Digital pathology and microscopic image analysis using artificial intelligence (AI) will revolutionize practice and diagnosis in pathology. The implementation and use of AI models in clinical workflows within digital pathology raise numerous questions regarding the role of these new tools. Alongside commercial software solutions, the use of free software and "in-house" models can be an attractive strategy, promoting the adoption of these new technologies by pathologists while addressing their diagnostic needs without constraints related to data flow or funding. The appropriate use of the right diagnostic model - subject to the continuous scrutiny of the pathologist in charge - is key to the integration of AI tools into clinical practice. This article presents an experience in implementing free and "in-house" AI tools based on the use of the QuPath software and its extensions within a digital pathology workflow.
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