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AI-based pathology diagnosis tool in development detects seven types of gastric cancer

Image data from multiple hospitals improves the tool’s versatility and accuracy.

Evident has recently announced the latest results from its ongoing joint research program to create an AI-based pathology diagnostic tool. The results show the diagnostic tool in development succeeded in expanding its AI detection to seven types of gastric cancer, highlighting its versatility for a range of pathology applications.

Evident, which is a wholly owned subsidiary of Olympus Corporation, unveiled the results at the 20th annual meeting of the Japanese Society of Digital Pathology.

There is an increasing demand for diagnostic tools that can help reduce the workload of pathologists. To meet this need, Evident began a collaboration with the National Hospital Organization Kure Medical Center and Chugoku Cancer Center in 2017 to develop an AI-based pathology diagnosis tool.

The first testing phase showed the diagnostic tool could successfully identify adenocarcinoma tissue from pathology whole-slide images. As part of the second research phase that began in November 2020, the tool was tested on 2,717 pathology whole-slide images provided by six hospitals in Japan to improve its versatility and accuracy.

By significantly increasing the amount of image data through collaboration with the hospitals, the diagnostic tool improved its AI detection of adenocarcinoma of tubular and poorly differentiated types and expanded its AI detection to identify other gastric cancers. It achieved a false negative rate of 0 to 2.5% in seven types of gastric cancer: adenocarcinoma, of tubular, papillary, mucinous and poorly differentiated types, gastrointestinal stromal tumour, MALT lymphoma, and diffuse large B-cell lymphoma. A common AI discrimination threshold was set for all hospitals, demonstrating the improved versatility of the software.

As the second research phase continues, Evident aims to further refine the tool to prepare it for commercial use. The goal of this program is to deliver an AI pathology diagnosis software that can assist pathologists by 2023.

For more information, visit EvidentScientific.com.

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Upcoming Events

Arab Lab Live 2022

Dubai International Convention & Exhibition Centre Dubai World Trade Centre - Trade Centre - Trade Centre 2 - Dubai - United Arab Emirates
24 - 26 October 2022

Lab Innovations 2022

Hall 2 NEC, Birmingham
2 & 3 November 2022

MEDICA 2022

Messe Düsseldorf D-40474 Düsseldorf, Stockumer Kirchstraße 61
14 - 17 November 2022

Meeting demand: the changing picture of diagnostics

The King's Fund, London, W1G 0AN
16 November 2022

Access the latest issue of Pathology In Practice on your mobile device together with an archive of back issues.

Download the FREE Pathology In Practice app from your device's App store

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