Artificial Intelligence
John Halamka, CIO of Beth Israel Deaconess Medical Center, and Paul Cerrato, Contributing Writer, Medscape, Medpage Today, discuss how AI and big data can help make personalized medicine a reality.
Jennifer Esposito, general manager of Health and Life Sciences at Intel, explains how AI benefits workflows with its direct impact to be a seamless integration for physicians and the patient experience.
Prof Xiangliang Zhang, associate professor at King Abdullah University of Science and Technology, is working with biology data to understand the relationship between disease, genes and drugs to gain better insight to develop predictive models; and encouraging students into pursue careers in data science.
Kyra Bobinet, MD, founder the neuroscience-based design firm EngagedIN, is working with AI algorithms in Walmart’s First Tri app to build a brain taxonomy to identify behavior to help individuals understand what motivation changes their food habits.
Iomed Medical Solution CEO Javier de Oca is in the business of generating data specific databases for health systems and believes the time is now to see that data translate into better patient outcomes and sustainable systems for providers.
Ed Marx, CIO at Cleveland Clinic, explains that organizations must be agile in harnessing real-time data for predictive analytics because there is always emerging tech from a data-generating population, so be ready for the next hurdle.
John Barto, healthcare evangelist at Microsoft, outlines the early wins systems are seeing by incorporating cognitive computing platforms into their IT stacks.
Anthony Chang, MD, at CHOC, explains how machine learning will "augment the intelligence of the clinician."
Ben Schilens from Orbita discusses the opportunity developers have to improve patient engagement.
Zeeshan Syed, Director of the Clinical Inference and Algorithms Program at Stanford Healthcare, presents the differences between AI and machine learning and discusses current applications of each technology in healthcare.
