CB Insights recently updated the picture of artificial intelligence entrepreneurship in the medical field, and counted the financing of 92 startup companies, of which China's carbon cloud intelligence completed the largest financing in this field.

In the quarterly analysis of the application of artificial intelligence medical companies, we reported that transactions in this area jumped from 10 in 2011 to 60 in 2015. As of this year (August 23), all companies in the field completed 55 rounds of financing. Recent deals include the $25 million Series A round of financing by London-based startup BabylonHealth, which includes Kinnevik and Google DeepMind; China's carbon cloud intelligence completed $154 million in Series A financing.

By 2025, artificial intelligence systems will involve everything from public health management to digital response to patient needs. -- Harpreet Singh Buttar, Frost & Sullivan Analyst.

We identified more than 90 startups that use machine learning algorithms and predictive analytics to reduce drug discovery time, provide virtual assistants to patients, diagnose diseases through medical images, and more. We released this market chart for the first time in April 2016. It was subsequently updated to include companies that completed financing in January 2013 and also removed companies such as MetaMind, which was recently acquired by Salesforce.

Investment highlights of artificial intelligence medical startups include:

Artificial intelligence startups that gather to image and diagnose are increasing: starting in January 2015, 17 of the 22 companies engaged in imagery and diagnostics completed the first round of financing (including seed round and round A). In 2014, Butterfly Networks completed a $10 million Series C round of financing, invested by Aeris Capital and Stanford University. This is the third largest financing after China's carbon cloud smart financing of $154 million and Flatiron Health's $100 million financing.

Venture capital in drug discovery: Startups are using machine learning algorithms to reduce drug discovery time, and venture capital institutions have invested in six of eight drug discovery companies. Andreessen Horowitz recently invested in twoXAR, which developed the DUMA drug discovery platform; Khosla Ventures and Data Collective invested in Atomwise, Atomwise's first public discovery of Ebola's drug discovery last year, and established a partnership with MERCK; Lightspeed Venture Partners People invested in Numedii in 2013; Foundation Capital participated in three rounds of financing from Numerate.

Khosla Ventures has invested in five companies: Khosla Ventures has become the most active investor in the field, and has invested in five companies: California's Ginger.io focused on patient depression and anxiety; Lumiata, a medical analysis platform; Zebra Medical, Israel Vison and Bay Labs of California, Bay Labs, a company that uses artificial intelligence for imaging; and drug discovery startup Atomwise.

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