Checking up on opportunities in China’s internet healthcare industry
The expert described AI’s main applications. Offline examples include drug R&D, with pharmaceutical companies employing deep learning to screen for effective molecules. Online applications mostly centre on consultations and can be divided into before, during and after stages, with different demand for AI in each segment.
The suitability of computer vision (CV) technology and natural language processing for different uses were also discussed. CV has been adopted most by doctors, assisting with screening text and images. “CV technology is mature in recognising and analysing the screening images of various diseases, such as those on ocular fundus and pulmonary nodules.”
A range of channels are used for acquiring data, including open-source databases and third-party companies. However, it’s expensive and time-consuming to obtain quality data. “To realise the best data output, a company should assemble a specialised expert team to process data based on the standards set by the AI team.”
The Interview also explored the potential of AI in healthcare owing to improving algorithms, as well as asking the rate at which human doctors could be substituted with technology over the coming 3-5 years. Moreover, the main competitors were highlighted – Baidu, AliHealth and Tencent Miying – along with their respective focus areas.
To access all the human insights from Third Bridge Forum’s AI Applications in Internet Healthcare – Directions & Challenges Interview, click here to view the full transcript.
The information used in compiling this document has been obtained by Third Bridge from experts participating in Forum Interviews. Third Bridge does not warrant the accuracy of the information and has not independently verified it. It should not be regarded as a trade recommendation or form the basis of any investment decision.
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