Recap | April 25
World Medical Innovation Forum: Artificial Intelligence
1,700 registrants, 140 executive presenters and key leaders shape the future of artificial intelligence!
The third day of the World Medical Innovation Forum featured a series of panel discussions and fireside chats that focused on ways that artificial intelligence (AI) can be used to improve the performance and data-gathering capabilities of medical devices, reduce health care costs, improve operational efficiencies across the healthcare system and mine new insights from clinical and research data.
“If you think about the magnitude of the information we have available to us in this space, you think about where technology is today and the compute horsepower that is available to all of us, it just makes sense to continue to evaluate technologies like artificial intelligence to be able to streamline not just operational and administrative efficiency, but be able to make more informed and timely decisions,” said Eric Murphy, CEO of OptumInsight and Enterprise Growth Officer at Optum, during a discussion on how AI technologies could factor into healthcare reimbursement systems.
Another engaging discussion focused on the concerns that AI technologies may eventually replace human pathologists and radiologists in diagnosing patients. The message from the speakers on this panel was that AI tools should be viewed as a friend, not a foe.
Constance Lehman, MD, PhD, Chief of Breast Imaging at Massachusetts General Hospital (MGH), said AI technologies have helped make imaging services at MGH more precise, targeted and personalized while reducing repetitive tasks that lead to burnout.
“Without a doubt this is on the friend side and a really powerful technology,” said Andrew Beck, MD, PhD, CEO, of PathAI. “The types of problems we are interested in solving are really hard and big and we’re very far from being able to effectively solve them, even with the AI of today. We’re very lucky that we have the access to these new technologies that will assist the profession.”
Wednesday’s Fireside Chat sessions provided valuable insights from healthcare leaders in the government, technology and pharmaceutical sectors.
“I’ve been in this industry for nearly four decades now. I honestly believe that I have never seen a technology that’s as transformative as this one,” said John Kelly, PhD, Senior Vice President for Cognitive Solutions and Research at IBM.
“The opportunity is enormous to transform this industry for better outcomes, lower costs for the benefit of all,” Kelly said. “But it’s now into the hard work portion of this. It is not easy to build a very intelligent, at scale, precise artificial intelligence system to be injected in the workflow of a clinical physician or a drug researcher. That is a big job. And by the way, you better have heck of a lot of good data to train that system.”
The Disruptive Dozen: 12 AI Technologies That Will Reinvent Care
The forum concluded on Wednesday afternoon with the presentation of the Disruptive Dozen, 12 technologies that faculty members in the Partners HealthCare System (PHS) believe have the potential to significantly advance healthcare in the next decade.
First Look Winners Announced!
Congratulations to First Look presenters Sabine Wilhelm, PhD, from MGH and Ziad Obermeyer, MD, from Brigham and Women’s Hospital (BWH) for winning the Peter K. Ranney Innovation Award!
The award was presented at last night’s Innovator’s Dinner to honor the BWH and MGH First Look presenters who embodied the innovative, entrepreneurial and visionary spirit the World Medical Innovation Forum was established to recognize.
Here is some of the feedback the judges provided for the winners:
Mobile Apps: Bridging the Mental Health Treatment Gap
Sabine Wilhelm, PhD
The concept of delivering cognitive behavioral therapy through a mobile app reduces traditional barriers to mental health treatment and tackles cost and access issues head on.
Given the well demonstrated market need for better mental health care paradigms and relative maturity of the technology, the app may benefit from a potentially short commercialization timeline.
The app is well positioned to passively collect substantial data that can inform computational models used to personalize treatment and provide real-time interventions.
A Machine Learning Algorithm to Reduce Costs and Increase Quality
Ziad Obermeyer, MD
The presentation addressed the kind of multi-variate clinical challenges that AI/ML based approaches are well suited to address.
The research has potential for dramatic impact on both cost and quality.
There is real opportunity to expand the approach across clinical domains and disease conditions-a big idea with the potential for broad impact.
Laura Lovett | @lauralovett7
Will robots be creating our meds in the future? Experts say probably not. But there is use for AI in pharma. I got to hang out at the World Medical Innovation Forum yesterday and hear all about it #WMIF18