Today Infervision introduced its innovative, deep learning solution to help radiologists identify suspicious lesions and nodules in lung cancer patients faster than ever before. The Infervision AI platform is the world’s first to reshape the workflow of radiologists and it is already showing dramatic results at several top hospitals in China. Infervision’s AI-aided CT diagnosis, with its high-performance parallel computing power, effectively learns the core characteristics of lung cancer and efficiently detects suspected cancer features in different CT image sequences, helping with early diagnosis and consequently early treatment. The technology is also used to assist in X-ray diagnosis and has achieved extremely high accuracy so that it is close to that of a deputy chief physician in the diagnosis of cardiothoracic diseases at one of the top Chinese hospitals where the software is now in use. For the past six months, the technology has been in use at several top hospitals in China, a country experiencing hundreds of thousands of new lung cancer patients annually, while it has too few radiologists. After rigorous testing and integrating the software with the standard PACS (picture archiving and communication system), Infervision’s technology is proving to be extremely effective and is enhancing the work of Chinese doctors by acting as a second pair of eyes. Read more at http://insidehpc.com/2017/05/ai-technology-china-helps-radiologists-detect-lung-cancer/
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