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cloud-based, deep learning artificial intelligence platform  (Aiforia Technologies)

 
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    Aiforia Technologies cloud-based, deep learning artificial intelligence platform
    Cloud Based, Deep Learning Artificial Intelligence Platform, supplied by Aiforia Technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cloud-based%2C+deep+learning+artificial+intelligence+platform/cloud+based++deep+learning+artificial+intelligence+platform/pm36007178-10234-9-14
    Average 90 stars, based on 1 article reviews
    cloud-based, deep learning artificial intelligence platform - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Development and technical validation of an artificial intelligence model for quantitative analysis of histopathologic features of eosinophilic esophagitis
    Article Snippet: A total of 10 726 objects and 56.2 mm 2 of semantic segmentation areas were annotated on whole-slide images, utilizing a cloud-based, deep learning artificial intelligence platform (Aiforia Technologies, Helsinki, Finland).

    Article Title: USCAP 2022 Abstracts: Gastrointestinal Pathology (372-507).
    Article Snippet: Design: A total of 10,726 objects and 56.2 mm2 of semantic segmentation areas were annotated on whole-slide images, utilizing a cloud-based, deep learning artificial intelligence platform (Aiforia Technologies, Helsinki, Finland).

    Article Title: NASPGHAN Annual Meeting Abstracts.
    Article Snippet: The EoE AI model was developed utilizing a cloud-based, deep learning artificial intelligence platform (Aiforia Technologies, Helsinki, Finland).



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    cloud-based, supervised deep learning artificial intelligence platform  (Aiforia Technologies)
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    Abbreviations: AI, artificial <t> intelligence </t> (i.e., model); FP, false positive; FN, false negative.
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    Abbreviations: AI, artificial intelligence (i.e., model); FP, false positive; FN, false negative.

    Journal: Journal of Pathology Informatics

    Article Title: Development and technical validation of an artificial intelligence model for quantitative analysis of histopathologic features of eosinophilic esophagitis

    doi: 10.1016/j.jpi.2022.100144

    Figure Lengend Snippet: Abbreviations: AI, artificial intelligence (i.e., model); FP, false positive; FN, false negative.

    Article Snippet: Our model was developed utilizing whole-slide images and a cloud-based, supervised deep learning artificial intelligence platform (Aiforia Technologies, Helsinki, Finland).

    Techniques: