TechnologyApril 5, 2017by admin0

Artificial Intelligence and Machine Learning in Healthcare

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Artificial intelligence and machine learning have been two of the most commonly used terms in the past few years, and now they’re finally starting to show up in real products. But what are these technologies, and how can they be useful in healthcare? Here are some of the ways AI and machine learning are being applied to medicine today. [2]


Who Is Using AI?

Artificial intelligence is still new, but it’s already being used across many industries. Google uses AI to design smarter apps; retailers use it to recommend products that might be just right for you; car manufacturers use it to teach your cars how to drive themselves…and healthcare organizations are taking advantage of AI too. What exactly is artificial intelligence, and why should we care? And what exactly is machine learning? This comprehensive guide answers all these questions and more.


Why Are They Using AI?

Health care institutions use AI to find answers to problems faster, at a lower cost. With predictive analytics systems like IBM Watson, doctors are able to understand patients’ medical records more quickly, allowing them to make more informed decisions on treatments. Because they’re able to do their jobs more effectively, doctors can spend less time on routine tasks that distract from their focus on patient care.


What Are the Main Applications of AI?

One of AI’s greatest strengths is that it can be applied to almost any industry. Below are just a few examples of how AI is being used today. In each case, businesses have found ways to use AI as an efficient tool or solution, even if they aren’t replacing humans outright: Customer Service/Hiring: Many customer service conversations now take place over email or chat apps instead of phone calls. When customers get stuck on something, they often turn to web searches for help with their problem, which may lead them back to your website for further assistance.


How Does This Affect Health IT?

Artificial intelligence (AI) is an area of machine learning research, which uses systems based on algorithms to improve performance at a specific task. AI has been developed for use in industries as diverse as manufacturing, finance, energy and healthcare. Today’s businesses are using AI for speech recognition, image recognition and language translation among other tasks. Increasingly we are seeing healthcare use AI to better identify problems that may go unnoticed by traditional methods or even detect conditions before they become serious issues requiring patient intervention. Through their engagement with patients, telehealth providers have access to millions of data points that can be analyzed through artificial intelligence tools to provide insight into improving patient health and quality of life. This benefits both providers who deliver care remotely and patients who receive treatment wherever they happen to be—whether at home or traveling abroad. Below are just some ways AI is affecting health IT today:


What Does The Future Hold?

There’s a lot of hype surrounding artificial intelligence (AI) and machine learning, but these terms are often used interchangeably. However, they aren’t actually synonymous. With that in mind, we asked Dr. Eric Topol to break down where AI is headed—and what its future looks like—in healthcare. While AI certainly has great potential for medicine, there are several challenges to overcome before it can be widely adopted. This year, I got a chance to talk with David Kenny, Senior Vice President at IBM Watson Health about how different companies are using AI in health care today. You may have heard about Verily Life Sciences or DeepMind Health , Google’s organizations focused on using technology to address some of society’s biggest issues—from diseases to climate change . It turns out that many other companies are also trying their hand at making AI an integral part of healthcare solutions.

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