Chinese Startup Infervision Emerges From Stealth With An AI Tool For Diagnosing Lung Cancer (techcrunch.com)

Jonathan Shieber from TechCrunch writes of a Chinese company called Infervision that aims to help lower the number of people in China who die from lung cancer ever year. The company has created a tool that uses machine learning and computer vision to help diagnose cancers. From the report: The company is taking advantage of a digital infrastructure that's been in place in Chinese hospitals since the SARS outbreak in 2003. It is using training data from images stored in digital health records in China and coupling them with data the company's technology is collecting in real time from its deployment in 20 hospitals around China (including Peking Union Medical College Hospital and Shanghai Changzheng Hospital). Infervision is also working with GE Healthcare, Cisco and Nvidia to develop and refine its technology. The company has processed roughly 100,000 CT scans and 100,000 x-rays since its initial installation last year. Infervision installs its software on-premise at hospitals and updates its image recognition and diagnostics tools based on the data coming in from its training hospitals, Chen Kuan, founder and CEO of Infervision, said. Training procedures are divided into two separate components, according to Kuan. The first is the the actual training system, where annotated data is collected from radiologists and incorporated into the company's training data. Then an updated version of the software (including the latest training data) is distributed to the network of hospitals.

Comments

deep neural nets are as close as currently possibl

[DrYak]

Statistical models are not AI.

The article is poor on the details of the methods.
But given the size of the data set, and given the kind of hardware used (massive GPU cluster),
it's possible that the system relies on deep neural nets (probably of the convnet type, given that it processes visual information)
and these things are as close as we can currently get to an actual AI.
(i.e.: something that learns on its own, forms its own way to interpret the data, and vaguely works in the same way as visual cortex in animals and human)

it's simplistic AI (it's closer to a collection to various visual cortex columns than a full-sized sentient brain. and even if there are some of the insects crawling in your basement with more brain power than this), but it's still AI.