Cutting-edge initiatives utilizing AI in the medical field! We will promote innovation in healthcare.
Roboken Co., Ltd. is engaged in AI development inspired by neuroscience. The "Medical Data Mining AI" promotes innovation in healthcare through advanced initiatives utilizing AI in the medical field. Using AI trained on medical administrative data from the past 10 years after inspections, we analyze medical administrative data before and after inspections and apply it to business systems. We provide this as a SaaS solution to hospitals and clinics. 【Features】 ■ By monitoring clinical activities and patient vital signs with AI, we contribute to the medical platform by predicting beneficial clinical actions and providing information to healthcare professionals. ■ Using AI trained on medical administrative data from the past 10 years after inspections, we analyze medical administrative data before and after inspections and apply it to business systems. ■ Provided as a SaaS solution to hospitals and clinics. *For more details, please refer to the PDF document or feel free to contact us.
Inquire About This Product
basic information
For more details, please refer to the PDF document or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
For more details, please refer to the PDF document or feel free to contact us.
catalog（1）
Download All Catalogs
Company information
Our company is engaged in AI research and development, system development, and SES (System Engineering Services). We contribute to society through the development of AI that is loving and supports people, contributing to human happiness. Please feel free to contact us if you have any requests.
![[Research and Development PC Configuration Example] Machine for Metal Complex Calculations](https://image.mono.ipros.com/public/product/image/60b/2000781194/IPROS31134621409771923768.jpeg?w=280&h=280)
![[Research and Development PC Configuration Example] Machine equipped with 4 RTX A6000 cards](https://image.mono.ipros.com/public/product/image/aef/2000789152/IPROS56845304308334749761.jpeg?w=280&h=280)
