News and reflections from the world of AI

    October 28, 2020

    An introduction to the history of telepathology

    Early development Telepathology, the remote practice of pathology, originates from a need for quick remote consultation. In an increasingly technologically connected world, communication and collaboration have become more convenient, particularly benefiting healthcare practices. In the decades since its development, telepathology has grown more useful than ever before, allowing pathologists to ...
    Written by Aiforia
    October 7, 2020

    How to train AI: video guides

      How to train AI for image analysis        
    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. Clinical labs benefti from the production of quantitative results and taking part in remote diagnostic consultation. In preclinical analysis and investigation, contract research organizations (CROs) and pharmaceutical companies benefit from a digitized and automated system while managing and analyzing ...
    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
    October 1, 2020

    Overview of digital pathology and its 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
    September 23, 2020

    Introduction to AI in digital pathology

    Deep learning (DL) is a subset of machine learning (ML) which falls under the category of artificial intelligence (AI). The formation of layers is not only pervasive in the nomenclature of these different types of computer intelligence but also in their architecture. DL is based on artificial neural networks, a layered and connected system of algorithms receiving and processing information.
    Written by Aiforia
    1 2 3 4