News and reflections from the world of AI

    Aiforia Announces Formation of Scientific Advisory Board

    Aiforia, a leading provider of deep learning artificial intelligence (AI) solutions for image analysis across a variety of medical domains, announces ...
    Written by Aiforia

    Aiforia secures U.S. patent for high-speed AI training tool in medical image analysis

    Aiforia, a leading provider of deep learning artificial intelligence (AI) solutions for image analysis across a variety of medical domains, has been ...
    Written by Aiforia

    How to train AI: video guides

      How to train AI for image analysis        
    Written by Aiforia
    October 6, 2020

    Remote pathology case study: using a cloud-based software

    Who are you and what do you do? Lara: I'm a Cytopathologist and Lung Pathologist. I am also the coordinator of the Working Group of Digital Pathology in Spain (SEAP: Spanish Pathology Society) and I'm the Vice-President of the Catalan Society of Cytopathology. Why did you decide to use the Aiforia Platform? I'm a very curious person and I wanted to try the Aiforia Platform because I read that you ...
    Written by Aiforia
    October 5, 2020

    How to use artificial intelligence in pathology: introduction and benefits

    Digital pathology has become widespread across the world in more than just academic labs. Contract research organizations (CROs) and pharmaceutical companies reap the benefits of digitization due to the nature of their work which is managing and analyzing millions of samples while seeking to reduce cost and time to develop viable drug candidates. Clinical labs on the other hand find it ...
    Written by Aiforia
    October 1, 2020

    AI is here to supercharge pathologists, not replace them

      Pathologists are vital to clinicians, patients and medicine overall. Yet, they are some of the most overworked employees in healthcare systems around the world. We are all becoming more and more aware of the worrisome statistics. Cancer rates are rising, chronic disease prevalence is increasing, populations are aging faster. With more disease, comes more patients and more samples to be analyzed ...
    Written by Aiforia
    1 2