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INTELLIGENT ASSISTANT FOR RADIOLOGISTS

Nowadays, there is a serious shortage of radiologists in China. Over 50% of radiologists work more than 8 hours, and 20.6% work more than 10 hours a day on average, which leads to overburden of doctors and influences the diagnosis results. Radiologists in large hospitals are occupied by reading the easy cases repeatedly, while the grassroots hospitals are short of radiologists or those who work there have limited diagnostic ability. Therefore, the patients would prefer big hospitals

HIGH LESION

DETECTION RATE

LOW FALSE

POSITIVE RATE

EFFICIENT AUTOMATIC

SECMENTATION

Radiologist Vs AI test results

(eg. pulmonary nodule)

ARTIFICIAL INTELLIGENCE IS “ARTIFICIAL” BASICALLY

We’ re working with radiologists on a specific product during its development phase to shape it’s capabilities and scope. Join the internet-based radiologists group and annotate de-identified imaging scans by using the professional annotation tools of AIDiscovery. You will help provide training data for AI machines and develop AI-assisted diagnosis technology, thereby improving diagnosis efficiency and patient experience.

MEDICAL IMAGING DATA RESEARCH

AIDiscovery provides massive high-quality imaging data resources and deep learning computing resources for clinical research demands. As a visualized platform of radiomics, deep learning and big data, it can also provide one-stop scientific analysis and research solutions of imaging data. In this way, clinical medical personnel lacking in computer programming capability can carry out deep learning research on medical imaging, leveraging the maximum potential of imaging data.