Artificial Intelligence

Artificial intelligence has gone through a hype cycle, and now we are understanding where AI can have the most impact, such as in the field of radiology, says Josh Gluck, VP of Global Healthcare Technology Strategy at Pure Storage.

The Thailand Center of Excellence for Life Sciences is breaking down silos to bring together different agencies doing advanced work in areas such as genomics and AI to achieve greater goals, says CEO Dr. Nares Damrongchai.

Virtual reality technology can empower patients to become a member of their own healthcare team, claim Dr. Robert Louis, director at Hoag, and Danielle Collins, chief experience officer at EMPOWER360.

BeCare Link CEO Alan Gilbert says the digital therapeutic company is using artificial intelligence to predict disease progression for multiple sclerosis patients – helping improve care, lower costs and decrease hospitalizations.

The Regenstrief Institute is working to automate the delivery of data into dashboards to reduce the burden of professionals looking at population data, says Health Informatics Director Brian Dixon.

Ian Z. Chuang, chief medical officer at Elsevier, says in a traditional model, research to bedside takes an average of 17 years. With the advent of new technologies, including machine learning, that needs to change to a shorter timeline.

Dr. Chris DeRienzo, chief quality officer at Mission Health, says the industry is on the precipice of making fundamental improvement in population health with machine learning models.

Neil Jordan, Worldwide Health Leader and Connector at Microsoft, discusses the best use of AI in healthcare, as well as issues involved with its implementation, including ethics and regulations.

Jörg Aumüller, head of digitalizing healthcare marketing at Siemens Healthineers, says putting AI to use in the clinical setting requires curated data, supercomputing infrastructure and the ability to model algorithms on neural networks.

Duke University Health System Chief Analytics Officer Stephen Blackwelder details how IT funnels various data sources such as EHRs and claims data into a treasure trove researchers can analyze.