News and reflections from the world of AI

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 ...

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 ...

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 ...

Aiforia Create feature: Instance Segmentation

The challenge: boundaries of AI-assisted analysis  AI-powered image analysis systems enable you to perform both multiclass semantic segmentation and object detection. These techniques allow pathologists to detect areas of different classes of region and counts of different objects. However, calculating the individual areas of segmentations and the individual areas of detected objects proves ...

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.