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CEO Yuki Shimahara
Ph.D.
AI Medical Image Diagnostic
Support Technology
EIRL
2
Company
Name
LPIXEL Inc.
Foundation  March 4, 2014
Headquarters Tokyo, Japan
Capital 2.07 Billion JPY (includes capital reserves)
Investors
CANON MEDICAL SYSTEMS CORPORATION, CYBERDYNE
INC, FUJIFILM Corporation, JAFCO Co., Ltd., Mistletoe Inc.,
Olympus Corporation, SBI Investment, TECHMATRIX
CORPORATION, TomyK, Toray Engineering Co., Ltd.,
Awards J-Startup, RED HERRING Global, SWITCH
Employees 60 (pharmacists, and researchers)
COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED.
Branch Office Boston, US
COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 3
No.1
COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 4
Workload of Radiologists
2008
2018
60 OVER%
Serious shortage of doctors!
Radiogram Interpretation
An alternative solution to diagnosis is required
MINISTRY OF HEALTH, LABOUR AND WELFARE DATA(2016)
5COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED.
EIRL is the next medical image diagnostic support technology
to catalyze the coming generation of medical diagnosis.
COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 6
BRAIN SCREENING
Aneurysm Stenosis Brain
Measurements
7COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED.
EIRL aneurysm
• AI-assisted software for detecting brain aneurysms from brain MRA
• Designed to reduce the number of overlooked lesions
• Japan’s first deep learning-assisted SaMD to be approved by the PMDA
COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 8
TECHNOLOGY
This system is approved in
accordance with the Act on Securing
Quality, Efficacy and Safety of
Products including Pharmaceuticals
and Medical
Devices (Pharmaceuticals and
Medical Devices Law) in Japan.
This system is not FDA cleared.
COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 9
93
CAD
Sensitivity
“Deep learning for MR angiography: automated detection of cerebral aneurysms”

Ueda D et al. Radiology 2018.
91% % 13
CAD
Improved
detection
4.8% %
Sensitivity on 683 Aneurysms
Presented at: The 77th Annual Meeting of the Japan Radiological Society
Supported by: Osaka City University Graduate School of Medicine and Faculty of Medicine Department of Diagnostic and Interventional Radiology
10COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED.
EIRL aneurysm: Radiologists’ Feedback
It really helped when theAI identified lesions for the cases I was unsure of.
“
“
It has an advantage in reducing the number of overlooked
lesions that come from human error.“
“
I am satisfied with the analysis speed.
“
“
11COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED.
Colonoscopy
• Together with the Jikei University School of Medicine, LPIXELis developing
an 

AI-assisted colonoscopy system that analyzes images in real-time for the 

detection and differential diagnosis of colonic lesions

• This national project is funded by the JapanAgency for Medical Research
and 

Development (AMED) 

• TheAI is anticipated to lower the risk of colorectal cancer by reducing the 

number of overlooked lesions and misdiagnosed cases
COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 12
TECHNOLOGY
This system is not FDA cleared.
COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 13
98 91Detection Sensitivity
% %
Classification Sensitivity
This system was able to detect 95 out of
102 lesions within 2 seconds of appearing in
the colonoscopic image.
Presented at: The 95th Congress of the Japan Gastroenterological Endoscopy Society, Digestive Disease Week
Supported by: The Jikei University School of Medicine
14COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED.
Future Vision
15COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED.
Develop medical AI for other diseases
Chest X-ray Mammography
16COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED.
Cultivate a society where AI will become
the norm
• DevelopAI technologies and deliver them to the global market
• CompileAI technologies from the world and bringing them medical
institutions all across Japan through RAQA, sales and technical
support
COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED.
Thank you for your kind attention

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AI Medical image Diagnostic Support Technology

  • 1. CEO Yuki Shimahara Ph.D. AI Medical Image Diagnostic Support Technology EIRL
  • 2. 2 Company Name LPIXEL Inc. Foundation  March 4, 2014 Headquarters Tokyo, Japan Capital 2.07 Billion JPY (includes capital reserves) Investors CANON MEDICAL SYSTEMS CORPORATION, CYBERDYNE INC, FUJIFILM Corporation, JAFCO Co., Ltd., Mistletoe Inc., Olympus Corporation, SBI Investment, TECHMATRIX CORPORATION, TomyK, Toray Engineering Co., Ltd., Awards J-Startup, RED HERRING Global, SWITCH Employees 60 (pharmacists, and researchers) COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. Branch Office Boston, US
  • 3. COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 3 No.1
  • 4. COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 4 Workload of Radiologists 2008 2018 60 OVER% Serious shortage of doctors! Radiogram Interpretation An alternative solution to diagnosis is required MINISTRY OF HEALTH, LABOUR AND WELFARE DATA(2016)
  • 5. 5COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. EIRL is the next medical image diagnostic support technology to catalyze the coming generation of medical diagnosis.
  • 6. COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 6 BRAIN SCREENING Aneurysm Stenosis Brain Measurements
  • 7. 7COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. EIRL aneurysm • AI-assisted software for detecting brain aneurysms from brain MRA • Designed to reduce the number of overlooked lesions • Japan’s first deep learning-assisted SaMD to be approved by the PMDA
  • 8. COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 8 TECHNOLOGY This system is approved in accordance with the Act on Securing Quality, Efficacy and Safety of Products including Pharmaceuticals and Medical Devices (Pharmaceuticals and Medical Devices Law) in Japan. This system is not FDA cleared.
  • 9. COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 9 93 CAD Sensitivity “Deep learning for MR angiography: automated detection of cerebral aneurysms” Ueda D et al. Radiology 2018. 91% % 13 CAD Improved detection 4.8% % Sensitivity on 683 Aneurysms Presented at: The 77th Annual Meeting of the Japan Radiological Society Supported by: Osaka City University Graduate School of Medicine and Faculty of Medicine Department of Diagnostic and Interventional Radiology
  • 10. 10COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. EIRL aneurysm: Radiologists’ Feedback It really helped when theAI identified lesions for the cases I was unsure of. “ “ It has an advantage in reducing the number of overlooked lesions that come from human error.“ “ I am satisfied with the analysis speed. “ “
  • 11. 11COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. Colonoscopy • Together with the Jikei University School of Medicine, LPIXELis developing an 
 AI-assisted colonoscopy system that analyzes images in real-time for the 
 detection and differential diagnosis of colonic lesions
 • This national project is funded by the JapanAgency for Medical Research and 
 Development (AMED) 
 • TheAI is anticipated to lower the risk of colorectal cancer by reducing the 
 number of overlooked lesions and misdiagnosed cases
  • 12. COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 12 TECHNOLOGY This system is not FDA cleared.
  • 13. COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. 13 98 91Detection Sensitivity % % Classification Sensitivity This system was able to detect 95 out of 102 lesions within 2 seconds of appearing in the colonoscopic image. Presented at: The 95th Congress of the Japan Gastroenterological Endoscopy Society, Digestive Disease Week Supported by: The Jikei University School of Medicine
  • 14. 14COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. Future Vision
  • 15. 15COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. Develop medical AI for other diseases Chest X-ray Mammography
  • 16. 16COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. Cultivate a society where AI will become the norm • DevelopAI technologies and deliver them to the global market • CompileAI technologies from the world and bringing them medical institutions all across Japan through RAQA, sales and technical support
  • 17. COPYRIGHT © LPIXEL INC. ALL RIGHTS RESERVED. Thank you for your kind attention