Aiforia AI Pathology

Aiforia is part of a field called digital pathology, where traditional glass microscope slides are scanned to create detailed digital images that can be examined on a screen and analysed by software. Built on deep learning and machine learning, the AI has been trained on large numbers of expert-reviewed images to recognise patterns in tissue, such as the appearance of cells, structures and areas that may represent tumour. Rather than working alone, it functions as an intelligent assistant within the pathologist's workflow, quantifying and flagging findings so they can be reviewed efficiently. The diagnosis itself remains a human, expert decision, with the software providing measurements and second-look support.

The process begins when a tissue sample is prepared, placed on a slide and scanned into a digital image at high magnification. The AI then analyses this image, examining it region by region to detect and measure relevant features, for example identifying areas of abnormal cells, estimating how much of a sample is affected, or counting specific markers that would be slow and tiring to count by eye. It highlights potential tumour areas and produces consistent, reproducible measurements. The pathologist reviews these results together with the original images, applies clinical judgement and context, and integrates everything into the final report. In this way the AI speeds up repetitive analysis and reduces variability, while the expert interpretation stays central.

Aiforia is used to support the diagnosis and assessment of several cancers, including breast, prostate, lung and skin, where careful examination of tissue is essential. It helps pathologists work through complex or high-volume cases more efficiently and apply consistent criteria, which is particularly useful for tasks that rely on careful counting or measuring across a sample. For patients, the benefit is indirect but meaningful: it supports timely, thorough and consistent analysis of their tissue, contributing to a reliable diagnosis that guides treatment. It does not replace the pathologist, the laboratory team or the treating doctors; instead it strengthens the diagnostic process that all of them rely on.

The main benefits are speed, consistency and support for accuracy. By handling repetitive measurement and highlighting areas of interest, the software can make analysis faster and reduce the natural variation between assessments, while the pathologist provides the clinical judgement that turns findings into a diagnosis. For you as a patient, there is nothing extra to undergo: the tissue sample needed for a diagnosis is taken as usual, and the AI works behind the scenes in the laboratory on the digitised slides. You will not notice the technology directly. What it contributes is added rigour and efficiency to the analysis of your sample, helping ensure the final report your doctor relies on is thorough and well supported.