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AetherAI’s introduces AI-assisted lymph node assessment workflow

AetherAI, Asia’s leading medical image AI solution provider, has designed an AI-assisted lymph node assessment workflow, validated with clinical experiments, and revealed the improvement of micrometastasis identification sensitivity from 81% to 95%.

Based on the results of its clinical experiments, AetherAI’s GigaPixel algorithm accurately identified metastatic lymph nodes in gastric cancer (AUC, 0.99). The research has been published in Nature Communications.

The development of AI applications has been the major driving force for digital transformation of pathology. The extreme resolution of whole-slide images, however, posed grave challenges due to limited memory. The typical workaround, the patch-based method, requires detailed annotation by pathologists, which makes the process extremely expensive and slow. AetherAI GigaPixel AI technology was developed to overcome this bottleneck by reducing the memory requirement during neural network computation, thereby allowing AI to be trained using entire undivided whole-slide images. This results in dramatically improved throughput of pathology AI development.

“By reducing the need for detailed annotation, AetherAI GigaPixel technology is revolutionising pathology AI development by training AI models in a more intuitive, economic, and clinically relevant manner,” said Joe Yeh, MD, AetherAI founder and CEO. “Our research demonstrated the improvement of the pathologists’ review accuracy and decreased their time for review.” The review time per slide was shortened by around 30% on average. “In the near future, it’s expected to see the implementation of such AI-powered workflows in the real world to enhance the diagnosis quality,” Yeh added.

The clinical experiments were conducted by using AI models trained on close to 6,000 high-resolution lymph-node histopathology images and deployed into daily clinical workflow in Chang Gung Memorial Hospital Group. CGMH Group is the largest private hospital group in Taiwan. It has been partnering with AetherAI in creating pathology AI applications to improve diagnostic efficiency since its pathology department underwent digital transformation in 2019.

The full article can be accessed online at https://www.nature.com/articles/s41467-022-30746-1.

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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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