Fujitsu and Tokyo Shinagawa Hospital have announced a partnership to jointly expand the generation of synthetic intelligence (AI) that can be used to assist in the early detection of COVID-19 pneumonia, even in cases where the possibility of infection is considered to be low. Tests.
The generation of artificial intelligence will be designed in particular to help read about chest CT scans, which are an effective approach to diagnosing novel coronavirus pneumonia, even when the effects of COVID-19 control are negative, Fujitsu said.
According to the Japanese tech giant, the knowledge gathered from past CT scans of COVID-19 pneumonia patients at Tokyo Shinagawa Hospital will be used to exercise the generation of artificial intelligence to stumble upon shadow patterns in the lungs.
“When diagnosing pneumonia in COVID-19, abnormal opacity patterns in the lungs, as well as the spread of shadows in the lungs, are vital information,” the company said.
Applying AI to research can help automate a process, according to Fujitsu, which requires doctors to visually verify a lot of patient-consistent chest CT photographs to support lung perception characteristics.
The spread of the COVID-19 virus has accompanied a growing demand for technologies that reduce the burden on doctors and facilitate immediate decision-making. It is also vital to identify new coronavirus pneumonia from a patient’s chest scanner in case of low probability of a new coronavirus infection, examination and PCR testing are not performed,” Fujitsu said.
Fujitsu stated that the outcome of the R
“By linking them to electronic medical history data, the goal is diagnostics through physicians based on chest CT images, while expanding the scope of this technology,” the corporate said.
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