Publisher Correction to: Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology

Abstract

Correction to: Modern Pathologyhttps://doi.org/10.1038/s41379-022-01147-y, published online 10 September 2022 The “Competing interests” section was erroneously not transferred from the manuscript to the originally published version of the article. The “Competing interests” section should read: F.Z. is a shareholder of asgen GmbH. P.S. is a member of the supervisory board of asgen GmbH. All other authors declare that they have no conflict of interest. The original article has been corrected accordingly. Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathologyModern PathologyVol. 35Issue 12PreviewArtificial intelligence (AI) solutions that automatically extract information from digital histology images have shown great promise for improving pathological diagnosis. Prior to routine use, it is important to evaluate their predictive performance and obtain regulatory approval. This assessment requires appropriate test datasets. However, compiling such datasets is challenging and specific recommendations are missing. A committee of various stakeholders, including commercial AI developers, pathologists, and researchers, discussed key aspects and conducted extensive literature reviews on test datasets in pathology. Full-Text PDF Open Access

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