Artificial intelligence is playing a vital role in healthcare sector and likely to become the key technology to make the entire healthcare system work with more efficiency and help people stay healthy. Actually, with the more innovations and evocative developments in AI, the healthcare sectors will get more leverage through this technology. From faster diagnosis to round-the-clock healthcare monitoring of people, AI is going to change the way healthcare sector operates and perform various activities. AI in radiology works like an artificial mind detecting the disease with an acceptable level of accuracy. And AI-enabled machines or medical systems not only can detect the diseases but can also suggest the medicines as per the patient's biological conditions and types of syndromes evident at the initial stage of diagnosis by the doctors or medical attendants. In upcoming years the scenario is healthcare sector is likely to completely change with more success in detecting the diseases with better accuracy.

When Amazon first came out with a smart recommendation algorithm for customers, millions of consumers receive their first tailored shopping experience personalized to their own interests. This changed the consumer world and introduced us to a whole new era of shopping. Amazon's algorithms, using a method called "item-to-item collaborative filtering", are able to provide targeted shopping recommendations by creating a personalized experience for each person. Even in a very basic form, this was the beginning of using machine learning in a very practical manner. But can such artificial intelligence and machine learning also act as an enabler for changes in medicine and healthcare, as much as Amazon's algorithm changed consumerism?

When Amazon first came out with a smart recommendation algorithm for customers, millions of consumers receive their first tailored shopping experience personalized to their own interests. This changed the consumer world and introduced us to a whole new era of shopping. Amazon's algorithms, using a method called "item-to-item collaborative filtering", are able to provide targeted shopping recommendations by creating a personalized experience for each person. Even in a very basic form, this was the beginning of using machine learning in a very practical manner. But can such artificial intelligence and machine learning also act as an enabler for changes in medicine and healthcare, as much as Amazon's algorithm changed consumerism?

How will AI change healthcare? "I'm sorry, you have cancer." These are words NO one wants to hear. When my father-in-law was diagnosed with cancer, I truly wish he'd had access to the amazing healthcare possibilities enabled by AI. Incredibly, a flawed second opinion probably saved his life--and nearly killed him.

How can machine learning become a greater enabler for healthcare and its participating players? Check out Eugene Borukhovich, our SVP and Healthcare VPL, trying to answer the question at Health 2.0 WinterTech in San Francisco, CA.

WHAT: SoftServe's "Will Artificial Intelligence Change Healthcare?" on-demand webinar will deep dive into the most talked about topic in Healthcare – Artificial Intelligence. WHO: During the webinar SoftServe's Eugene Borukhovich, Senior Vice President and Healthcare Global Vertical Practice Leader, will provide insights on how AI can add value in Healthcare by: WHERE: Register to access a recording of the "Will Artificial Intelligence Change Healthcare?" webinar. Eugene Borukhovich is an international expert on healthcare information technology innovation. He is also a member of HIMSS EU Industry Advisory Committee, convened in September 2014 to discuss and collaborate on key Healthcare IT topics. Eugene is a frequent speaker at various healthcare conferences and events, including HealthXL, mHealth Summit, Health 2.0, Week of Health and INNovation, etc. Eugene's articles and blogs have been published in numerous healthcare resources including SoftServe United, HealthWorksCollective, Medical Design Technology, intrepidNOW, and many more.