Florida Doctor

FLDR 2019 Spring

Florida Doctor Magazine. Helping Doctors to a better practice and better life

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S P R I N G 2 0 1 9 39 and make intelligent decisions on its own. In contrast, machine learning uses algo- rithms to determine and make informed decisions based on what it has learned. Deep learning can provide doctors with the analysis of any disease accurately and helps them treat patients better, in theory, resulting in better medical decisions on its own. e electronic health records (EHR) space is one area that is a focus in deep learning systems. Sundar Pichai, CEO of Google, Inc. outlined how the company is planning to use its artificial intelligence infrastructure to better predict healthcare outcomes in a paper published in the spring of 2018. For a company like Goo- gle, Inc. this venture will help support its models and algorithms in the deep learn- ing field. is is also a natural extension of the Google Cloud Platform. AI Trends in Healthcare In 2015, healthcare artificial intelligence companies comprised up to 15 percent of all global AI deals across various sectors that include business intelligence, security, finance and e-commerce. Venture capital investment has grown substantially in AI medical technologies. According to CB Insights, more than $2.14 billion dollars of venture capital has poured into healthcare artificial intelli- gence companies in the past five years across more than 300 deals. Most active investors of this space are AME Cloud Ventures, Data Collective, Vinod Khosla's Khosla Ventures and Google Ventures (GV). According to research firm Frost & Sullivan by 2021, AI systems will generate $6.7 billion in global healthcare industry revenue. In 2014, they only generated $634 million—that's a 40 percent com- pound annual growth rate. "ere's a land rush around AI right now," said IBM President and CEO Ginni Rometty in February at HIMSS17. "It's the right moment. Digital is the founda- tion for everything. However, the com- petitive advantage is going to come from being cognitive." Artifical intelligence, machine learning and deep learning are already increasing profits in the healthcare industry. Invest- ment in these technologies is booming. Around 35 percent of healthcare orga- nizations will implement some form of artificial intelligence solutions within the next two years—and over half of them plan to follow suit within the next five years. Between 2012 and 2017, penetra- tion of electronic healthcare records grew from 40 to 67 percent. is statistic is very important for the future of machine learning in healthcare because the avail- ability of data is necessary for the further advancement. Value of AI in Healthcare 1. Predictive Analytics Healthcare providers and insurance companies can find new patterns between symptoms and diseases that can help improve the health of a patient population

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