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Olympus Corporation has announced the launch of an artificial intelligence (AI) powered platform, ENDO-AID, including the endoscopy application ENDO-AID CADe (computer-aided detection). The new platform allows for the real-time detection of suspicious polyps and lesions during a colonoscopy.

The new platform works in combination with the company’s recently released endoscopy system EVIS X1. ENDO-AID enhances EVIS X1’s capabilities through the use of AI, with the aim of elevating the standards of endoscopies worldwide.

ENDO-AID CADe utilises a complex algorithm delivered through a neural network that Olympus has developed and trained. The system’s machine learning enables real-time alerts to be delivered to endoscopists when suspicious lesions appear on-screen.

The system was developed with the following improvements in mind: improved observational performance in the detection of adenoma; supporting the screening process in colonoscopies and the efficiency of endoscopy operation.

EVIS X1 was developed in order to improve image detection and characterisation, as well as staging and treatment.

Olympus Head of Endoscopic Solutions Division Frank Drewalowski said: “At Olympus we are committed to innovation and driving our research and development with passion. Especially in AI, we recognise the power of elevating endoscopic imaging to uncharted levels. Considering ENDO-AID as a first step, we are planning additional AI-powered applications for image detection and characterisation – not only for colonoscopy.”

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