Top Tweets for #ARCHITECTINGAI
As patients become more savvy and look at complications and look at how well we do, I think AI will be one of the tools in our arsenal.” – Dr. Aalpen Patel (2/2) #ArchitectingAI
“The institutions that use AI effectively will replace those who don't. So it is absolutely critical in my mind that we use AI for leverage in variety of fields but especially in patient care so that we're taking better care of patients. (1/2) #ArchitectingAI
Machine learning's not some sort of special sauce that you're just going to sort of dump on whatever you got and then magic comes out. There’s really hard work to get to the point to even be able to build a model. – Dr. Brandon Fornwalt #ArchitectingAI
Welcome to the “Architecting AI: Architecting AI: Geisinger's Vision: How Data, Imaging & Genomics Are Driving Actionable Decision-making” video series. Our moderator today is the Chief Content Officer of @TriMed_Media and @AIinHealthcare, Mary Tierney, MS. #ArchitectingAI
Join this webinar with @GeisingerHealth to learn how data, imaging & genomics are driving actionable decision-making. https://t.co/L9xrFaB7hu #ArchitectingAI
“If you generate more useful data, you become a better consultant. If you're actually giving more people more actionable data, you as a physician are a more valuable part of the care process.”— Gary Wendt #ArchitectingAI
“In many ways, it will hopefully help us to deliver deeper, richer, more contextually sensitive information to providers, so be able to derive more. It will make us better consultants than what we can be today.”—Richard Bruce #ArchitectingAI
“I think one of the potential advantages of #AI both in #radiology and certain medicine generally is that it can start to bridge some of those specialties again where you have these incredibly nuanced specific data in a subspecialty.”—John Garrett #ArchitectingAI
“I know one of the big complaints people have is that #deeplearning or #AI, it’s a black box. You feed something and you get something out, but if it's wrong, it's not easy to trace back where it went wrong or what's causing that.” —John Garrett #ArchitectingAI
“There's a lot of stuff that's in data that we can't visualize currently. I think #AI will help open that up and help quantify things.”—Gary Wendt #ArchitectingAI
Thanks to all who tuned into the #ArchitectingAI webinar today and asked great questions of our panel! If you missed out, stay tuned for a link to the recording or check out @AIinHealthcare's live tweets. Thanks to @PureStorage, @MATTERhealth, @WeWork & Dr. Yu @MainStRadiology!
“It's time for something like this to be adopted, to make them better. No one is getting replaced. Everyone is getting enhanced.”—Chad McClennan #AI #radiology #ArchitectingAI
“We want to have the smallest possible footprint in the hospital and it's kind of an inverse relationship that puts a lot more hardware in our house.” —Ajit Jairaj #AI #ArchitectingAI
“You need a big, robust dataset and that's what we're building here.” —Ajit Jairaj #AI #ArchitectingAI
The panel will talk about how #AI makes healthcare better—clinically, operationally & financially—& how AI & #machinelearning impact workflow, IT & infrastructure. #ArchitectingAI
Expert roundtable participants: Chad McClennan, Ajit Jairaj & Yaffa Landis of @Koiosmed & Lai Yu, MD, of @WeillCornell and @MainStRadiology #ArchitectingAI
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