FUJIFILM

This technology extracts the target area from the image.
Positioning during imaging is performed automatically.
Unnecessary tissue is automatically removed before creating a 3D image for diagnosis.
It is a technology that supports the automation of inspections.

The technology enables automatic recognition of left ventricle, left atrium and right atrium wall in addition to view recognition of the heart, and automatic measurements realize autonomous measurements of ejection fraction and volumes.
The measurement function are used very often in echocardiography exams. This AI technology assist to reduce inter- and intra-observer variability so that improve reproducibility and efficiency of exams.

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.

This technology is to assist positioning before exposure by images from camera which implemented on the X-ray modality and confirming the more optimal positioin with AI software .

The sensor integrated in the X-ray system will recognize three-dimensional information from the patient's body.
It will then automatically suggest the optimized exposure conditions and adapt proper image processing.

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

The technology supports populating radiology report of lung nodules based on the observation and analysis results of the properties. It enables to analyze multiple properties such as shape, absorption, presence of calcification, etc., and provide multiple finding sentence candidates using natural language processing technology.

The technology analyzes the properties of areas of interest in the liver and assists doctors in writing radiology report. It is possible to analyze not only the location and size, but also the appearance/disappearance of enhancement based on multi-phase images of contrast-enhanced CT. In addition, similar to lung nodule characterization analysis, it is also possible to present multiple finding sentence candidates using natural language processing technology.