EIRL’s product lineup
Brain aneurysm detection support technology advanced from MRA
Diagnostic support for detecting brain aneurysms from brain MRA
Automatic extraction of intracranial high attenuation areas from head CT images
Tokyo, Japan – October 19, 2018 – LPixel is pleased to announce its attendance at RSNA 2018 – 104th Scientific Assembly and Annual Meeting scheduled to be held in Chicago from November 25, 2018 to November 30, 2018. RSNA is an international society for radiologists and medical professionals that gathers over 54,000 members from over 136 countries across the globe. The body hosts one of the world’s largest radiology forums in Chicago every year. Attendees can learn more about LPixel’s impressive line of AI-powered medical image diagnostic solutions at booth #7573 in the Machine Learning Showcase.
LPixel is also proud to announce that the CEO, Yuki Shimahara, and Chief Engineer in the Medical Business Department, Antoine Choppin will be giving a theater presentation at this year’s RSNA to reveal the latest in LPixel’s AI-instilled medical image diagnostic solutions. The presentation is scheduled to take place on November 28, 2018. LPixel would like to take this opportunity to invite attendees to visit the company’s booth to discuss new opportunities and learn more about the AI medical image diagnostic support technology.
|Date||November 25, 2018 – November 30, 2018|
|Place||McCormick Place（Chicago, IL, USA）|
Machine Learning Showcase ＃7573
|Service||Medical Image Diagnostic Support System, EIRL|
■Theater Presentation Details
|Title||AI for Medical Image Diagnosis|
|Presenters||Yuki Shimahara (CEO)|
Antoine Choppin (Chief Engineer)
|Date/Time||Wednesday, November 28, 2018 12:30 pm – 12:50 pm|
|Place||ML44 Room Machine Learning Showcase North Hall|
■Request a Meeting
・Click here to book an appointment with us during RSNA.
EIRL is the collective name given to LPixel’s AI-based medical image diagnostic support technology. LPixel has implemented EIRL in the ongoing research and development of various areas of medical image diagnostics, such as MRI scans of the brain and breasts, chest X-rays, colonoscopy and pathology. Moving forward, LPixel will continue to amplify its research and development efforts, and aim to use EIRL in medical applications after performing the necessary procedures in accordance with the applicable laws and regulations. Details here: https://eirl.ai
LPixel is a leader in advanced image analysis and processing technology encompassing the life science field. Founded in March 2014, LPixel is dedicated to offering research facilities top-tier image analysis technologies and medical diagnosis technologies, both of which adopt advanced AI technology. The company is currently working in collaboration with the University of Tokyo Hospital, the National Cancer Center Japan and other research institutions to further the development of its AI-based medical diagnosis technology. For more information, please visit https://lpixel.net/en/