Latest tweets from Infervision


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Chinese AI transforming healthcare

AI is enabling businesses to radically innovate, processing huge amounts of data using machine learning to be more precise and predictive. In the diagnostics of medical conditions, Infervision enables scans to be interpreted more accurately, problems to be identified more quickly, and potential conditions avoided.

Beijing Infervision is an artificial intelligence high-tech company committed to applying deep learning technology to assist medical image diagnosis as efficient and accurate solutions.

Infervision effectively uses various types of medical data to create clinically valued products and promotes precision analysis in the medical field especially in assisted image diagnosis. Based on years of research preparation,

Infervision launched the world first “Infervision – artificial intelligence precise healthcare platform”​, and is the first to release intelligent X-ray assisted diagnosis products and intelligent CT assisted diagnosis products. These products are already in trials at Shanghai Changzheng Hospital, Tongji Medical College of HUST in Wuhan, and Dalian Zhongshan Hospital.

The company is also engaged in academic research and has established a deep cooperative relationship with top institutions in Chinese Radiology, combining both medical science and medical technology while laying a solid foundation for artificial intelligence breakthroughs in the medical field.

Infervision has established cooperative business partnerships with close to 20 Tertiary Grade A hospitals including Peking Union Medical College Hospital, Shanghai Changzheng Hospital, Tongji Medical College of HUST in Wuhan and Dalian Zhongshan Hospital, and has successfully broken the barriers between medical data, technology, and application scenarios, creating a unique system of an artificial intelligence computing platform and precise healthcare intelligence system.

In an article for Forbes, Bernard Marr said “Infervision is working on ground-breaking work to diagnose and treat strokes with the help of machine learning algorithms. The AI medical image specialists has already completed successful pilots of its Head CT Augmented Screening platform. It is hoped that the technology will soon go into widespread use and save lives, by allowing doctors to more quickly and accurately diagnose strokes and assess the damage they have caused.”

It is the second medical technology based around machine learning which Infervision have reported success with – I previously wrote about their platform which detects early signs of lung cancer in X-ray and CT scans.

Over 100,000 annotated medical image scans were used to train the algorithms, which given more live data will become increasingly efficient at diagnosing the two main types of stroke, hemorrhagic and ischemic.

Infervision founder and CEO Chen Kuan told me “X-ray is a very old type of medical check-up – in China, for example, no one had mentioned chest X-ray in academic conferences for more than 15 years. Until very recently with the arrival of AI. AI has helped radiologists discover problems they previously weren’t able to see. So we are very proud to see radiologists starting to discuss some very interesting and fantastic cases involving AI.”

It’s certainly a fantastic example of the ways new technology can unlock value from data which has been around for a long time.

One of the major problems it solves is how to measure the volume of blood lost in hemorrhagic (bleeding) strokes. When every second is critical following a stroke, doctors generally use a simple mathematical formula to “guesstimate” as best as possible how much blood is lost.

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