Yitu releases the world's first full range AI-based cancer screening solutions
With the breakthrough, Yitu can truly help radiologists improve diagnostic efficiency and reduce radiologists' pressure, pushing AI healthcare to be "better" and "must have" from "usable".
Nov. 30/EqualOcean/-Yitu, a Chinese tech company that uses artificial intelligence in the medical imaging industry, announced the release of cancer screening and diagnosis platform based on AI technology and care.ai™ Breast CT(computed tomography) intelligent four-dimension imaging system at the Radiological Society of North America's Annual Meeting (RSNA 2018), according to its official WeChat account.
The cancer screening and diagnosis platform collecting big data from the whole world, covering multiple high-risk cancers such as lung cancer, breast cancer, cervical cancer, and colorectal cancer, and providing radiologists and practitioners screening, diagnosis and treatment and follow-up management service.
Previously, the company has contributed 100 million in a cancer early screening program named AI Anti-cancer Map, partnered with hundreds of medical institutes in the next five years.
As a fundamental part of the platform, care.ai™ Breast CT intelligent four-dimension imaging system has a recorded breakthrough in breast CT detection worldwide, in which single lung nodule accounts for more than 60% of lesions in breast CT imaging, is capable to detect lesions covers nodules, patchy shadows, pleural effusion, comprising 95% of lesions.
The system can also make a diagnosis and treatment plan combined with an accurate prognosis prediction.
JING Zhengyu（金征宇）, Chairman of the Chinese Medical Association Radiology Branch, Director of the Department of Radiology, Peking Union Medical College Hospital, indicated that with the breakthrough, Yitu can truly help radiologists improve diagnostic efficiency and reduce radiologists' pressure, pushing AI healthcare to be "better" and "must have" from "usable".
In the keynote address of "How Emerging Technology Will Empower Tomorrow's Radiologists to Provide Better Patient Care", the chairman of RSNA 2018, Vijay M. Rao said that the benefits of future AI and machine learning methods for radiology will be enormous, and these technologies will make radiologists' work more efficient, allowing more time to be transferred to the patients' care. Technological innovation will enable imaging technology to move toward "faster, safer, quantitative, precise and affordable", reported by PR News Wire.