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Intel Equipped with 11th Gen CPU and ASUS AI Endoscope… Faster and More Accurate Colorectal Cancer Screening
Palm-sized solution, displays up to 50 polyps in real-time
An endoscopy solution incorporating Intel-based AI technology has been launched, and it is expected that medical professionals will be able to identify colon polyps more quickly and accurately.
Intel announced on the 20th that it has been collaborating with ASUS on the development of an AI solution for colorectal cancer screening.
The ASUS AI endoscopy system identifies colon polyps within just a few milliseconds before they can be identified by the human eye.
The ASUS EndoAim AI endoscope system, released last November, is a palm-sized solution that is small enough not to be obscured by other large devices in a colonoscopy room.
The ASUS EndoAim system delivers video data transmitted from a colonoscopy camera to an ASUS mini PC equipped with an Intel 11th Gen Core processor, capable of outputting video at up to 60 frames per second. Most competitor solutions provide video at half that frame rate.
This solution immediately classifies suspected polyps and other abnormalities by highlighting them in green, allowing medical professionals to identify them instantly. In addition, it can display multiple polyps at once. Based on clinical trial results, ASUS claims that the solution can display up to 50 polyps in real time.
Currently, ASUS EndoAim solutions are being used at a total of five medical facilities in Taiwan, including Kaohsiung Veterans General Hospital, National Yang Ming Chaio Tung University Hospital, Dianthus Medical Group, Dr. LEE Clinic, and Ansn Clinic.
The reason for the success of this solution is not simply that a high-performance chip is installed in a small product.
Intel engineers optimized the AI solution to enable ASUS to detect even the smallest polyps in various environments by utilizing Intel open-source software, including the OpenVINO™ toolkit.
In addition, EndoAim is differentiated from other AI-based solutions by having the ability to perform real-time polyp detection with 95% sensitivity and classify polyps with a 95% AUC.
ASUS EndoAim Project Manager April Yang emphasized that, compared to other solutions, EndoAim does not require expensive additional equipment for real-time polyp detection.
Stating that no additional hardware is required other than connecting a mini PC to the endoscope camera, they explained, “Ultimately, our goal is to help doctors perform accurate assessments to increase polyp detection rates in endoscope camera-related procedures and avoid unnecessary tissue biopsies.”
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