- Fujifilm presented its new AI software at event hosted by Life Sciences Hub Wales.
- This device can be helpful to radiographer taking the X-ray.
The photography and imaging company Fujifilm showcased its new artificial intelligence (AI) software at an event hosted by Life Sciences Hub Wales. This AI is used in an imaging device. The software integrates into a mobile radiography system.
Flown in from Tokyo for the event, the FDR nano has been introduced as a mobile X-ray unit that uses integrated AI technology to identify and flag abnormalities. This product is the first Fujifilm AI-enabled mobile unit in Europe. It is due to commence clinical trials in a UK hospital next month.
The AI in the unit uses a heat map to highlight suspicious areas on an image to the radiographer taking the X-ray. Any potential issues detected and flagged at the time of the X-ray examination, can be flagged for immediate attention. Now nobody needs to send them to a radiologist’s workflow list without prioritization.
Cases where abnormalities have been identified in a patient can be prioritized and immediately referred to a radiologist for assessment due to AI. Using deep learning algorithms, the technology provides a clear visual and statistical analysis of conditions that include tuberculosis as well as and chest conditions such as a collapsed lung and enlarged heart. In tuberculosis, the detection rate is 100%. For chest condition, the accuracy rate is 97%.
Adrian Waller, general manager at Fujifilm UK Ireland, said:
“This new technology has the potential to bring huge benefits to healthcare, both in terms of improving patient care and treatment, and improving operational efficiency for overstretched radiology departments. Across healthcare AI is enabling smaller, more portable equipment to execute diagnostic examinations closer to the patient with immediate indication of findings. Whilst radiographers may detect and prioritize some images of concern at the time of the examination, many images are referred to a specialist radiologist to be read and reported with no indication of priority. There is a chronic shortage of radiologists across the UK, and many hospitals have significant backlogs which can mean some cases can go unreported for weeks. By flagging abnormalities straight away, this new technology can ensure cases are effectively prioritised and put at the top of the list for reporting, which in turn will speed up diagnosis and treatment for patients.”