Release date: 2016-06-22

DeepCare is a technology company specializing in the identification and screening of medical images. The special feature is that the technology used is artificial intelligence.

Liu Sheng, the company's co-founder and CEO, told ArtNet. "We want to make a big data + artificial intelligence platform for medical imaging, so that all medical hardware and software can be artificially intelligent." Specifically, DeepCare focuses on research and development. Medical image detection, identification, screening and analysis technologies, through the integration of machine vision, deep learning, and big data mining technology, are committed to providing fast, accurate and low-cost medical image recognition technology to portable medical device manufacturers and grassroots medical centers. .

In recent years, the combination of medical imaging and artificial intelligence has become increasingly hot at home and abroad. In this context, DeepCare has entered the market and cooperated with medical hardware manufacturers to provide statistical and pre-diagnostic artificial intelligence algorithms to intelligentize medical devices.

According to the "2015 Annual Report on Food and Drug Regulations" issued by the CFDA, as of the end of November 2015, there were 5,080 first-class medical device manufacturers, 9,517 second-class machinery enterprises, and 2,614 third-class machinery enterprises. Among them, there are more than 12,000 second- and third-class machinery enterprises that implement production license management in the country. In fact, these companies are potential customers of DeepCare.

“Devices made by large equipment manufacturers like GE, Philips, and Siemens all come with smart image recognition technology. But for small and medium-sized equipment manufacturers, they can’t maintain the deep learning algorithm team, they can only give up this function. Or outsourced to an algorithm development company.” Liu Sheng said that for small and medium-sized equipment manufacturers, the outsourcing team is not only difficult to find, but also low cost. Generally, the cost of outsourcing is 300,000-500,000, and DeepCare adopts a mode similar to SaaS (software as a service). Every year, customers pay according to the modules used, and each module only needs 30,000-50,000. For example, cervical cancer screening has three modules, including lymphocytes, epithelial cells, red and white cells, etc., which is generally cheaper than outsourcing companies, and the quality of service is more assured.

Liu Sheng said that the payment method can be money or data. This means that if a certain amount of data is available each year, DeepCare's customers can use the algorithm module for free or at a very low price. At present, DeepCare has cooperated with a cervical cancer smear testing company in Shanghai, a handheld ophthalmic instrument company in Suzhou, a urine inspection agency in Chongqing and a medical imaging cloud software company in Beijing to provide modular algorithm services. "

In general, DeepCare products have two purposes: one is to artificially intelligentize the hardware, and the other is to artificially intelligentize the software.

Hardware artificial intelligence means that DeepCare can help cooperative medical device manufacturers realize automatic identification function at low cost, popularize these devices to grassroots community clinics at the township level, reduce the threshold for use, and make chronic disease management more convenient, fast and accurate. .

The artificial intelligence of the software is equal to a virtual assistant of the expert. First of all, in the field of medical imaging, the artificial intelligence of the software can realize the screening of CT films, and the pictures of suspicious lesions in each patient are pre-screened by doctors. Secondly, the artificial intelligence of the software can automatically generate partial diagnostic reports, and doctors can improve on this basis to save doctors' time. Every time the doctor improves, the system algorithm will self-learn and keep improving. In addition, the artificial intelligence of the software can help the imaging department and clinicians to really use the data, providing the function of “searching by map”, allowing doctors to quickly use images, find similar patients who have been treated before, and diagnose for doctors. And decide on treatment options to provide more comprehensive data analysis.

Liu Sheng, co-founder and CEO, graduated from Harvard Business School, a former McKinsey senior consultant and a Silicon Valley continuous entrepreneur. He has been involved in the Internet and new energy fields twice in Silicon Valley in the United States. He is a co-founder and CTO Ding Peng graduated from Dartmouth University. He has worked in several top computer vision companies and has many years of research in artificial intelligence.

In addition, the other members of the team are experts in medical image processing, artificial intelligence, etc., and have more than 10 years of research experience in the field of medical imaging.

It is understood that DeepCare has received 6 million RMB angel round financing from Fengrui Capital, currently valued at 50 million yuan.

Source: Arterial Network

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