Dr. Ngiam Kee Yuan, Group Chief Technology Officer at the National University Hospital in Singapore, hopes that his organization's AI and machine learning tools will serve to augment clinical practice and eventually lead to improved patient care.
Sam Hanna, Associate Dean of Graduate and Professional Studies and Program Director in Healthcare Management at American University, talks about the ideal skill set needed to use data and technology to create targeted therapies.
Robin Frady, Executive Director, B&CI Information Services at Grady Health System, talks about her organization’s success with using AI and data to target at-risk patients with post-discharge EMS outreach.
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.
Douglas Reding, Chief Medical Officer for Ascension Wisconsin and practicing oncologist, talks about Ascension's journey with its precision medicine task force, the need for AI support and the future of AI and machine learning.
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.
Anthony Chang, MD, chief intelligence and innovation officer at CHOC, explains to Adam Culberston, HIMSS innovator in residence, how machine learning will "augment the intelligence of the clinician" and ultimately lead to better decision making.
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.
Will Morris, senior medical director at Cleveland Clinic Innovations, connects the work of the developer community to the systems integrations and the workflow changes needed to make those advances work.
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.