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Josh Gluck, VP of Global Healthcare Technology Strategy at Pure Storage, says that artificial intelligence has gone through a hype cycle, and now there is a realization of where AI can have the most impact, especially in the field of radiology.
Dr. Nares Damrongchai, CEO of the Thailand Center of Excellence for Life Sciences (TCELS), discusses breaking down silos to bring together different agencies doing advanced work in areas such as genomics and AI to achieve greater goals.
Artificial intelligence can predict disease progression for MS patients – helping improve care, lower costs and decrease hospitalizations, says Alan Gilbert, CEO of digital therapeutic company BeCare Link.
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, says Ian Z. Chuang, chief medical officer at Elsevier.
The industry is on the precipice of making fundamental improvement in population health with machine learning models, says Dr. Chris DeRienzo, Chief Quality Officer at Mission Health.
Putting AI to use in the clinical setting requires curated data, supercomputing infrastructure and the ability to model algorithms on neural networks, says Jörg Aumüller, head of digitalizing healthcare marketing, Siemens Healthineers.
Duke University Health System Chief Analytics Officer Stephen Blackwelder explains how IT funnels various data sources into a treasure trove researchers can analyze.
Michael Nash, founder and Chief Product Officer of Lumedic, highlights how blockchain and machine learning can be applied to simplify and automate large portions of revenue cycle operations.
At MEDinIsrael 2019, Medial Earlysign CEO Ori Geva describes how his startup helps hospitals turn data into action for particular high-need use cases.
Menlo Ventures Partner Greg Yap says understanding what customers need is critical to the VC firm for AI, medical apps and the next generation of wearables, among other investment areas.
Rohit Ghosh, an AI scientist and founding member of Qure.ai, discusses deploying artificial intelligence and machine learning to radiology and examples of success stories.
(Sponsored) Ian McCrae, founder and CEO of Orion Health, on using machine learning to provide medical records to physicians and nurses in a coherent manner so the data is usable and not overwhelming.