News | Radiology Business | March 07, 2018

Canon Medical Systems Acquires Fysicon B.V.

Fysicon announced its acquisition by Canon Medical Systems Corporation.

Fysicon announced its acquisition by Canon Medical Systems Corporation. Linda Elberse, CEO of Fysicon, stated: "Being part of a major player as Canon Medical Systems Corporation gives us the opportunity to cover all parts of the world with our innovative systems. Now Canon Medical has completed the image by adding Fysicon’s new developed hemodynamic monitoring system “QMAPP”, the sophisticated device management system “DataLinQ” and the cloud based image distribution software “EVOCS" and last but not least Fysicon's knowledge of connectivity and workflow management. Canon Medical is a strong brand name and a leading supplier, which will help us take the next steps into strengthening and growing our footprint in the global market. Furthermore we will keep developing new technologies and exploring new areas in the medical field together with our new parent company. We are very proud to have joined forces!”

Toshio Takiguchi, President of Canon Medical Systems, said: “We are really pleased that we can provide new clinical value to patients and medical professionals by combining Fysicon’s advanced technologies with our systems.“

For more information: https://global.medical.canon

Related Content

John Carrino, M.D., M.Ph., presents “Challenges and Opportunities for Radiology to Prove Value in Alternative Payment Models” at AHRA 2019

John Carrino, M.D., M.Ph., presents “Challenges and Opportunities for Radiology to Prove Value in Alternative Payment Models” at AHRA 2019. Photo by Greg Freiherr

Feature | Radiology Business | July 22, 2019 | By Greg Freiherr
Efforts to reform healthcare are booming, b
IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017.

IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017, and who had health records for at least one year prior to the mammogram. The algorithm was trained on 9,611 mammograms. Image courtesy of Radiology.

Feature | Artificial Intelligence | July 19, 2019 | Michal Chorev
Breast cancer is the global leading cause of cancer-related deaths in women, and the most commonly diagnosed cancer...
Johns Hopkins Named Qualified Provider-led Entity to Develop Criteria for Diagnostic Imaging
News | Clinical Decision Support | July 18, 2019
On June 30, 2019, the Centers for Medicare & Medicaid Services (CMS) announced the Johns Hopkins University School...
Image by rawpixel from Pixabay

Image by rawpixel from Pixabay 

Feature | Radiology Business | July 18, 2019 | By Stefanie Manack and Judy Zakutny
Approximately 30 percent of a hospital or health system’s profit comes from imaging according, to...
CMS Proposes New Alternative Payment Model for Radiation Oncology
News | Radiation Oncology | July 17, 2019
The Centers for Medicare and Medicaid Services (CMS) issued a proposal for an advanced alternative payment model (APM)...
Anatomage Releases Anatomage Cloud Platform
News | Remote Viewing Systems | July 16, 2019
Anatomage Inc. released an update to the Anatomage Cloud platform that allows medical and dental professionals to...
Graphic courtesy Pixabay

Graphic courtesy Pixabay

Feature | Artificial Intelligence | July 15, 2019 | By Greg Freiherr
Siemens has long focused on automation as a way to make diagnostic equipment faster and more efficient.
Videos | Artificial Intelligence | July 12, 2019
Khan Siddiqui, M.D., founder and CEO of HOPPR, discusses the economic advantages and costs presented by...