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Artificial Intelligence Transforming Healthcare Machine learning and artificial intelligence are transforming healthcare with their rapid fire pace of innovation. The IDC predicts that worldwide spending on artificial intelligence will escalate to $46 billion by 2020​, spanning across several industries, healthcare included. ​About ​35 percent​ ​of healthcare organizations plan to leverage artificial intelligence within the next two years — and more than half intend to do so within the next fiv
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  Artificial Intelligence Transforming Healthcare Machine learning and artificial intelligence are transforming healthcare with their rapid fire pace of innovation. The IDC predicts that worldwide spending on artif icial intelligence will escalate to $46 billion by 2020   , spanning across several industries, healthcare included. About 35 percent   of healthcare organizations plan to leverage artificial intelligence within the next two years — and more than half intend to do so within the next five. So, what is artificial intelligence? According to Hilary Mason   , “ A truly artificially intelligent system is one that learns on its own, one that’s capable of crunching copious amounts of data in order to create associations and intelligently mimic actual human behavior”. From scheduling checkups to detecting cancer, AI is making its mark    in healthcare by automating massive and repetitive tasks, not to replace doctors, but to offer them tools which will help them do their jobs more effectively. These are all tasks that people traditionally do, but sometimes machines do them better, says Michael Williams   , president of the University of North Texas Health Science Center. Reducing ER wait times, improving surgical workflows – those are key to improving the patient experience, and AI has a real role to play. Hospitals across the nation are deploying AI to take on challenges from diagnosing treatment recommendations  based on patient data, to streamlining communication between doctors, to lessening the risk of complications. Algorithms are also being trained on monumental tasks, such as detecting signs of breast cancer in mammograms, earlier than humans are currently capable of. And because these trained computers become smarter with the more data they take in, they are constantly learning and improving in their efficiency. Dr. Eric Topol   , director of the Scripps Translational Science Institute states that Computing capa bility can transcend what a human being could ever do in their lifetime. Take,   for example, IBM’s Watson. Watson analyzed genomic data from both tumor cells and healthy cells and was ultimately able to glean actionable insights in a mere 10 minutes. Compare that to the 160 hours it would have taken a human to analyze that same data. “Artificial intelligence start-up Medial EarlySign   in a new study has shown how the combination of AI and EHR data can facilitate early detection and treatment of kidney problems and can help slow down – or even prevent – progression to end-stage renal disease. By isolating less than   5  percent of the 400,000   diabetic population selected among the company's database of 15 million  patients, the algorithm was able to identify 45 percent of patients who would progress to significant kidney damage within a year, prior to becoming symptomatic, the start-up reported. This represents 25 percent more patients than would have been identified by commonly used clinical tools and judgment, the company contended.”  Similarly, six months after El Camino Hospital in Silicon Valley implemented artificial intelligence technology, the rate at which patients suffered dangerous falls dropped by 39  percent. The key, alongside additional fall prevention strategies, was a software program that  predicts which individuals are most likely to fall by combing over electronic health records for risk factors and merging the data discovered there with real-time tracking of patients. AI and its relevance in healthcare is accelerating quickly. As it begins to emerge out of its infancy, being accepted by both patients and caregivers alike, new knowledge discovery and improved productivity are just around the corner.
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