Review



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

 
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    Aiforia Technologies cloud-based, supervised deep learning artificial intelligence platform
    Abbreviations: AI, artificial <t> intelligence </t> (i.e., model); FP, false positive; FN, false negative.
    Cloud Based, Supervised 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/pmc09577132-56-10-16
    Average 90 stars, based on 1 article reviews
    cloud-based, supervised deep learning artificial intelligence platform - by Bioz Stars, 2026-11
    90/100 stars

    Images

    1) Product Images from "Development and technical validation of an artificial intelligence model for quantitative analysis of histopathologic features of eosinophilic esophagitis"

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

    Journal: Journal of Pathology Informatics

    doi: 10.1016/j.jpi.2022.100144

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

    Techniques Used:

    Related Articles

    Biomarker Discovery:

    Article Title: Histological tumor necrosis predicts decreased survival after neoadjuvant chemotherapy in head and neck squamous cell carcinoma.
    Article Snippet: Histological images used in the development of the AI-based necrosis detection program were uploaded to the Aiforia Create deep learning cloud-based platform (Aiforia Technologies, Helsinki, Finland), a commercially available platform specifically designed for histologic images.

    Article Title: Claudin 18.2 Expression in 1,404 Digestive Tract Adenocarcinomas including 1,175 Colorectal Carcinomas: Distinct Colorectal Carcinoma Subtypes are Claudin 18.2 Positive.
    Article Snippet: Digitized H&E images were uploaded to the Aiforia Create deep learning cloud-based platform (Aiforia Technologies, Helsinski, Finland).

    Article Title: Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting
    Article Snippet: The same application automatically compresses the file into a single zip-file and uploads the file to an image-management and machine-learning platform (Aiforia, Aiforia Technologies, Helsinki, Finland).

    Article Title: Digital Hepatic Iron Content: An Artificial Intelligence Model for Spatially Resolved Histologic Iron Quantitative Analysis in Liver Samples.
    Article Snippet: Currently, the precise evaluation of tissue hepatic iron content (HIC) requires laboratory testing using tissue-destructive methods based on colorimetry or spectrophotometry.. To maximize the use of routine histologic stains in this context, we developed an artificial intelligence (AI) model for the recognition and spatially resolved measurement of iron in liver samples.. Our AI model was developed using a cloud-based, supervised deep learning platform (Aiforia Technologies).

    Article Title: Artificial intelligence-based automated determination in breast and colon cancer and distinction between atypical and typical mitosis using a cloud-based platform
    Article Snippet: In this study, we describe how we have been developing AI models using Aiforia’s cloud-based AI solutions for breast and colorectal cancer diagnosis, mitosis detection, and in-house AI application development for our integration of AI-based applications and 3D imaging systems.

    Article Title: Improved risk stratification scheme for mismatch repair proficient stage II colorectal cancers using the digital pathology biomarker QuantCRC
    Article Snippet: Improved Risk-Stratification Scheme for Mismatch-Repair Proficient Stage II Colorectal Cancers Using the Digital Pathology Biomarker QuantCRC Christina Wu, Reetesh K. Pai, Heidi Kosiorek, Imon Banerjee, Ashlyn Pfeiffer, Catherine E. Hagen, Christopher P. Hartley, Rondell P. Graham, Mohamad B. Sonbol, Tanios Bekaii-Saab, Hao Xie, Frank A. Sinicrope, Bhavik Patel, Thomas Westerling-Bui, Sameer Shivji, James Conner, Carol Swallow, Paul Savage, David P. Cyr, Richard Kirsch, and Rish K. Pai

    Imaging:

    Article Title: Histological tumor necrosis predicts decreased survival after neoadjuvant chemotherapy in head and neck squamous cell carcinoma.
    Article Snippet: Histological images used in the development of the AI-based necrosis detection program were uploaded to the Aiforia Create deep learning cloud-based platform (Aiforia Technologies, Helsinki, Finland), a commercially available platform specifically designed for histologic images.

    Article Title: Claudin 18.2 Expression in 1,404 Digestive Tract Adenocarcinomas including 1,175 Colorectal Carcinomas: Distinct Colorectal Carcinoma Subtypes are Claudin 18.2 Positive.
    Article Snippet: Digitized H&E images were uploaded to the Aiforia Create deep learning cloud-based platform (Aiforia Technologies, Helsinski, Finland).

    Article Title: Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting
    Article Snippet: The same application automatically compresses the file into a single zip-file and uploads the file to an image-management and machine-learning platform (Aiforia, Aiforia Technologies, Helsinki, Finland).

    Article Title: Digital Hepatic Iron Content: An Artificial Intelligence Model for Spatially Resolved Histologic Iron Quantitative Analysis in Liver Samples.
    Article Snippet: Currently, the precise evaluation of tissue hepatic iron content (HIC) requires laboratory testing using tissue-destructive methods based on colorimetry or spectrophotometry.. To maximize the use of routine histologic stains in this context, we developed an artificial intelligence (AI) model for the recognition and spatially resolved measurement of iron in liver samples.. Our AI model was developed using a cloud-based, supervised deep learning platform (Aiforia Technologies).

    Article Title: Artificial intelligence-based automated determination in breast and colon cancer and distinction between atypical and typical mitosis using a cloud-based platform
    Article Snippet: In this study, we describe how we have been developing AI models using Aiforia’s cloud-based AI solutions for breast and colorectal cancer diagnosis, mitosis detection, and in-house AI application development for our integration of AI-based applications and 3D imaging systems.

    Article Title: Improved risk stratification scheme for mismatch repair proficient stage II colorectal cancers using the digital pathology biomarker QuantCRC
    Article Snippet: Improved Risk-Stratification Scheme for Mismatch-Repair Proficient Stage II Colorectal Cancers Using the Digital Pathology Biomarker QuantCRC Christina Wu, Reetesh K. Pai, Heidi Kosiorek, Imon Banerjee, Ashlyn Pfeiffer, Catherine E. Hagen, Christopher P. Hartley, Rondell P. Graham, Mohamad B. Sonbol, Tanios Bekaii-Saab, Hao Xie, Frank A. Sinicrope, Bhavik Patel, Thomas Westerling-Bui, Sameer Shivji, James Conner, Carol Swallow, Paul Savage, David P. Cyr, Richard Kirsch, and Rish K. Pai



    Similar Products

    cloud-based, deep learning artificial intelligence platform  (Aiforia Technologies)
    90
    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, 2026-11
    90/100 stars
    		  Buy from Supplier
    cloud-based, supervised deep learning artificial intelligence platform  (Aiforia Technologies)
    90
    Aiforia Technologies cloud-based, supervised deep learning artificial intelligence platform
    Abbreviations: AI, artificial <t> intelligence </t> (i.e., model); FP, false positive; FN, false negative.
    Cloud Based, Supervised 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/pmc09577132-56-10-16
    Average 90 stars, based on 1 article reviews
    cloud-based, supervised deep learning artificial intelligence platform - by Bioz Stars, 2026-11
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    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: