Better decision making, advanced analytics and big data insights. Can deep learning algorithms rival human skills in detecting disease from radiological images, identify cancer in pathology reports or predict complications. Is it necessary for humans to spend time reviewing reports to determine if you’re sick or at risk? We are awash in oceans of data. We can’t do it all – but can technology and computers handle this? Is a human’s time is better spent helping other humans by providing them with better clinical care. Can artificial intelligence be leveraged to provide personalized treatments for people battling diseases like cancer and diabetes? The goal of this program is to show how artificial intelligence can sort through piles of raw data to provide real-time information and be leveraged to provide personalized treatments.
Bob Phelps, Business Development Executive
Slava Akmaev, PhD, Senior Vice President & Chief Analytics Officer, BERG Health
Michael Fahey, Offering Manager for Exogenous Data, IBM Watson Health
Ravi Kuppuraj, PhD, MBA, Venture Leader, Connected Sensing and Wearables, Philips Healthcare
Neil Smith, Co-founder, Think Outcomes
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