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Tokyo, Japan – July 31 , 2019 – LPIXEL Inc., a leader in image analysis and processing in life science and medical research, announced today that it will be presenting the latest in development of its AI-assisted colonoscopy during United European Gastroenterology Week (UEGW), scheduled to take place from October 19-23 in Barcelona, Spain.
This research is funded by the Japan Agency for Medical Research and Development, and LPIXEL is a joint research partner to the Jikei University School of Medicine. During UEGW, the Jikei University School of Medicine and LPIXEL will be presenting the results of the clinical trials which commenced in January 2019.
Until now, many studies in the past have used colonoscopy videos to validate the performance of AI-assisted colonoscopy technologies. In this research, the analysis and evaluation of the AI-assisted colonoscopy was conducted in real-time in a clinical setting. The results of the evaluation revealed that the lesion detection capabilities of the system reached an accuracy level comparable to that of an endoscopist. LPIXEL will work in parallel to apply further improvements to the technology based on the evaluation and continue the development of the function to support differential diagnosis.
THE REAL-TIME DETECTION AND DIFFERENTIAL DIAGNOSIS OF COLORECTAL POLYPS IN COLONOSCOPY WITH AN ARTIFICIAL INTELLIGENCE ALGORITHM; A PROSPECTIVE OBSERVATIONAL STUDY
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Founded in March 2014, LPIXEL is a University of Tokyo spin-off that hones its expertise in life science image analysis. LPIXEL unifies artificial intelligence and its image analysis technologies to develop and provide advanced software for researchers and professionals in the life science industry, including the medical, pharmaceutical and agricultural sectors. LPIXEL is currently working in collaboration with the University of Tokyo, the National Cancer Center Japan and other research institutions to further the development of its AI-powered medical diagnosis technology. For more information, please visit https://lpixel.net/en/