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New innovations in the healthcare industry

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The practice of medicine is one where innovation is literally a matter of life or death, there's always an urgent need for a new test to diagnose a mysterious new disease and a new miracle treatment to save someone afflicted by it. Innovation in healthcare is essential, and those pushing medicine's boundaries have the supreme motivation to do so; they want to alleviate suffering and save lives. As we turn the corner on 2020, we find ourselves in the midst of the worst pandemic in a century and humanity's brightest minds are focused on rapidly innovating healthcare solutions for pandemic-scale problems to save lives. The failure to scale healthcare systems over the last few decades has resulted in intense pressure to scale pandemic response in months; it is unequivocally clear that as a result our health systems will be transformed in the post pandemic world. Let's explore the major anticipated transformation. In the decade since 2010, smart phones "apps" went from buzzwords to integral parts of healthcare delivery.


Decoding the Future Trajectory of Healthcare with AI - ReadWrite

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Artificial Intelligence (AI) is getting increasingly sophisticated day by day in its application, with enhanced efficiency and speed at a lower cost. Every single sector has been reaping benefits from AI in recent times. The Healthcare industry is no exception. Here is decoding the future trajectory of healthcare with AI. The impact of artificial intelligence in the healthcare industry through machine learning (ML) and natural language processing (NLP) is transforming care delivery.


A Healthy Future for Artificial Intelligence in Healthcare

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One of the hottest tech trends these days is artificial intelligence (AI), with researchers looking into the use of AI for applications ranging from autonomous vehicles to financial management, to healthcare. The healthcare industry is often at the forefront of innovation and technological advances due to the wealth of medical devices, equipment and processes that permeate the industry. But AI in particular seems poised to transform the way we collect, understand and use data on patient health, healthcare services and historical health data to revolutionize medical diagnostics, treatment and research. What makes AI so suitable for use in medical research and the healthcare industry? Largely, the appeal of AI is its ability to collect, analyze and make sense of vast amounts of unstructured and variable data--especially text, statistical numbers, and visual images--quickly and often more accurately than a human being.


Artificial Intelligence In Healthcare: Separating Reality From Hype

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It's impossible to read about the future of healthcare without encountering two pixilated vowels that, together, represent the hopes and fears of an industry seeking more intelligent solutions. Though the field of artificial intelligence (AI) has been around since 1956, it has made precious few contributions to medical practice. Only recently has the hype of machine-based learning begun to merge with reality. What Is Artificial Intelligence, Really? Confusion surrounding AI – its applications in healthcare and even its definition – remains widespread in popular media.


Artificial Intelligence In Healthcare: Separating Reality From Hype

#artificialintelligence

It's impossible to read about the future of healthcare without encountering two pixilated vowels that, together, represent the hopes and fears of an industry seeking more intelligent solutions. Though the field of artificial intelligence (AI) has been around since 1956, it has made precious few contributions to medical practice. Only recently has the hype of machine-based learning begun to merge with reality. What Is Artificial Intelligence, Really? Confusion surrounding AI – its applications in healthcare and even its definition – remains widespread in popular media.