(Yicai Global) Sept. 7 -- A Chinese University of Hong Kong (CUHK) research team has successfully applied artificial intelligence image interpretation technology to analyze medical images of lung and breast cancer with 91-percent and 99-percent accuracy, respectively. The reading process lasts between 30 seconds and 10 minutes. 

Professor Wang Pingan, who headed the research team, introduced findings on the technology, which can be used to automatically screen early lung cancer and rapidly detect breast cancer metastasis, at a press conference yesterday, state-run Xinhua news agency reported.

The team used in-depth learning technology to review Computed Tomography (CT) images of chests and automatically recognize the position of pulmonary nodules, which are the main form of early lung cancer. For breast cancer diagnosis, the technology can process slice images of tissue samples to judge lymphatic metastasis.

The researchers will cooperate with several hospitals in Beijing to develop relevant products to recognize cancer lesion and metastasis as soon as possible and provide a reliable basis for early diagnosis and therapy, Wang said.

The team started carrying out relevant experiments five years ago, and Hong Kong may use the automated diagnosis tool extensively in the next one or two years, said Wang.