BPoD has moved!

BPoD has recently changed our domain name - we can now be found at bpod.org.uk

Please update your bookmarks!

Now in our 13th year of bringing you beautiful imagery from biomedical science every day

Search the archive of over 4000 images

AI vs Cancer

AI algorithm could assist busy pathologists identifying cancer in biopsies

11 April 2022

AI vs Cancer

Thanks to sci-fi, we associate artificial intelligence (AI) with robot uprisings that enslave humanity. But – for now – AI is more likely to help than harm us. Researchers have developed a new AI algorithm to help diagnose colorectal cancer, the third most common cancer worldwide. The examination of colorectal biopsies by expert pathologists is the best way to diagnose cancer, but these specialists are overworked, leading to fatigue and risking mistakes. An algorithm, however, is only limited by its hardware. The AI, trained on clinical biopsies annotated by experts, first identifies healthy and cancerous areas and then classifies each as ‘high risk’ (red in this biopsy section) or ‘low risk’ (green). The AI classified nearly 4 in 5 biopsies correctly, and most of the mistakes were false positives, meaning that it's unlikely to miss cancer. After further improvements, the aim is to introduce the AI as a tool to assist pathologists soon.

Written by Henry Stennett

Search The Archive

Submit An Image

Follow on Tumblr

Follow on Instagram

What is BPoD?

BPoD stands for Biomedical Picture of the Day. Managed by the MRC Laboratory of Medical Sciences until Jul 2023, it is now run independently by a dedicated team of scientists and writers. The website aims to engage everyone, young and old, in the wonders of biology, and its influence on medicine. The ever-growing archive of more than 4000 research images documents over a decade of progress. Explore the collection and see what you discover. Images are kindly provided for inclusion on this website through the generosity of scientists across the globe.

Read More

BPoD is also available in Catalan at www.bpod.cat with translations by the University of Valencia.