Fujifilm to Acquire Hitachi’s Diagnostic Imaging-related Business
By MedImaging International staff writers
Posted on 24 Dec 2019
FUJIFILM Corporation (Tokyo, Japan) has entered into an agreement with Hitachi, Ltd. (Tokyo, Japan) to acquire its Diagnostic Imaging-related business to further expand its Healthcare business. By applying its proprietary image processing and artificial intelligence (AI) technologies to Hitachi’s extensive product lineup, Fujifilm aims to further expand its Medical Systems business and create new values to contribute to improve the quality of medical care.Posted on 24 Dec 2019
Since its launch of X-ray system in 1953, Hitachi has been providing solutions using diagnostics imaging system, IT and electronic health record to enhance the quality of care and efficiency. Its Diagnostic Imaging Systems business has a strong global presence, providing a comprehensive suite of products including CT, MRI, X-ray, and ultrasound systems.
By acquiring Hitachi’s Diagnostic Imaging Systems business, Fujifilm will be able to provide a one-stop total solution that includes CT, MRI diagnostics imaging, medical IT, in-vitro diagnostics and endoscopy. In addition, Fujifilm will be able to create new business that can generate synergies between its Medical Systems business and other businesses in healthcare segment such as pharmaceuticals and regenerative medicine. By leveraging Fujifilm’s unique image processing technologies utilized in picture archiving communication systems (PACS) and AI technologies, Fujifilm will be able to provide new value-added solutions.
For example, the use of AI technology on CT images can reduce noise and offer better image quality in low-dose examinations. In addition, through its extensive portfolio, Fujifilm will be able to enhance its relationships with medical institutions and medical specialists, and access to high quality diagnostic images and operation data. By leveraging such data, Fujifilm will be able to expand into new areas, including “AI-supported Diagnosis” and “AI-supported Maintenance”.
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