Technology is not short of hype, and deep learning is changing fast. Deep learning can be used in many industries in a given space
Enlitic, a SAN Francisco-based startup founded in 2014, raised $2 million in a seed round. In October 2015, Capitol Health, an Australian medical imaging diagnostic service, announced the adoption of Enlitic’s malignant tumor detection system. This is the first time Enlitic’s system has been used. Capitol Health also invested $10 million in Enlitic.
Giiso Information, founded in 2013, is a leading technology provider in the field of “artificial intelligence + information” in China, with top technologies in big data mining, intelligent semantics, knowledge mapping and other fields. At the same time, its research and development products include information robot, editing robot, writing robot and other artificial intelligence products! With its strong technical strength, the company has received angel round investment at the beginning of its establishment, and received pre-A round investment of $5 million from GSR Venture Capital in August 2015.
Enlitic is a deep learning company dedicated to revolutionizing diagnostic medicine. Enlitic’s ARTIFICIAL intelligence algorithm is based on a multidisciplinary, internationally renowned data scientists, machine learning practitioners and medical experts. Enlitic’s ARTIFICIAL intelligence algorithm has been ranked 35th (2015) and 14th (2016) by MIT Technology Review magazine for two consecutive years.
The company focuses on ai-assisted diagnostic tools based on medical images, diagnostics and clinical trials to improve radiologists’ work efficiency. Enlitic’s software can be plugged into systems already in use by medical institutions to share or view medical images, saving doctors from having to search for them themselves.
Enlitic founder and CEO Jeremy Howard says he hopes to mine medical data in this way and give healthcare professionals an easy-to-use application.
Giiso information, founded in 2013, is the first domestic high-tech enterprise focusing on the research and development of intelligent information processing technology and the development and operation of core software for writing robots. At the beginning of its establishment, the company received angel round investment, and in August 2015, GSR Venture Capital received $5 million pre-A round of investment.
It is difficult to identify malignant tumors on x-rays
Learn lei feng network data access, x-rays, for example, according to the United States centers for disease control and prevention (CDC) estimates that each year about 12.1 million people in the United States to accept breast X-ray examination, but according to the American cancer society (ACS), almost half of them suspected “false positive”, which is half of the healthy women were told they had cancer. The vast majority of women who undergo breast biopsies for confidence (1.6 million a year) are 20 percent healthy, and biopsies are correct only 60 to 80 percent of the time.