AI in Healthcare: What the Slope of Enlightenment Will Look Like

It’s time to move beyond the hype and see how AI has really impacted the healthcare space. Through the lens of the Gartner hype cycle, this webinar evaluates the lifespan of AI in healthcare to-date: what the Peak of Inflated Expectations looks like, and what we can hope to see during the Slope of Enlightenment. What has worked and what has fallen flat in the space? What are the expectations and what advances can we expect to see in the next five to ten years? How will we define success? How do these answers differ between the verticals of healthcare: clinical settings, pharmaceuticals, disease diagnostics, and wound therapeutics, among others? Join Dr. Hugo Bowne-Anderson, data scientist and educator at DataCamp, as he discusses all of this and more with Arnaub Chatterjee, Senior Vice President at Medidata Solutions, previously Associate Partner in the pharma analytics at McKinsey & Company and Director of Data Science at Merck.

You can find the links to the articles mentioned in the conversation below:

• Predicting Risk of Suicide Attempts Over Time Through Machine Learning

• Trends and Focus of Machine Learning Applications for Health Research

• Deep learning enables rapid identification of potent DDR1 kinase inhibitors

• Dissecting racial bias in an algorithm used to manage the health of populations

• Contract offers unprecedented look at Google deal to obtain patient data from the University of California

Make sure to follow @hugobowne and @DataCamp.