FUJIFILM

The technology which prepares environment on the modality to exapnd the opportuities of AI-CAD applications and improve workflow not only in hospitals, but also at point of care.

This technology assists real time detection and distinction between an artery and a vein, as well as measurement of diameter and depth of the vessel from ultrasound images. This will streamline Point Of Care UltraSound exams.

This AI technology detects foreign objects in X-ray images. This technology can be applied to the detection of surgical objects such as gauze and reduce the burden on doctors to check the surgical objects held at each surgical procedure.

We developed AI algorithms to predict clinically important outcomes using inpatient data with pneumonia aggregated throught our integrated medical care support platform system. This technology will assist preparing personalized medical documents and optimizing medical resources

When creating documents such as discharge summaries, we developed a technology that extracts necessary text from medical records to assist.

Based on clinical data accumulated in “CITA Clinical Finder,”
we have developed technology that predicts the risk of falls among outpatients, provides risk scores, and identifies factors contributing to AI predictions.

We have developed technology that predicts and lists medical data that is likely to be viewed based on patient information accumulated in “CITA Clinical Finder” and the viewing status of users, thereby supporting the reference of medical data.

Fujifilm has developed “Reading Report Structuring AI,” a unique natural language processing technology that structures reading reports created by radiologists for medical images captured by CT, MRI, and other imaging devices.
By structuring reading reports written based on the specialized knowledge of radiologists, it is possible to efficiently database and utilize reading reports that include medical jargon and expressions unique to physicians.

The technology utilizes a large-scale language model to automatically generate and present drafts of "summaries," which are documents that comprehensively describe patient information such as test results and treatment history.