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#Healthcare is emerging as a prominent area for #AI research and applications.
And nearly every area across the industry will be impacted by the technology’s rise. Image recognition, for example, is revolutionizing diagnostics. Recently, Google DeepMin’s neural networks matched
the accuracy of medical experts in diagnosing 50 sight- threatening eye diseases.
Even pharma companies are experimenting with deep learning to design new drugs. For example, Merck partnered with startup Atomwise and GlaxoSmithKline is partnering with Insilico Medicine.
However, AI faces both technical and feasibility challenges that are unique to the healthcare industry.
For example, there’s no standard format or central repository of patient data in the United States.
But big tech companies like Apple have an edge here, especially in onboarding a large network of partners, including healthcare providers and EHR vendors.
Take a look at CB Insight's report about "Top Healthcare AI Trends To Watch"
https://www.cbinsights.com/res…/report/ai-trends-healthcare/
technical feasibility example 在 Technical Aspects of Feasibility Study Module III B - YouTube 的推薦與評價
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