News and reflections from the world of AI

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 ...

How to train AI: video guides

How to train AI for image analysis

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 ...

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 ...

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 ...

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.