Top Tweets for #SAIL20
Dr. Ayanna Howard @robotsmarts on AI to help 270M (!) children w disabilities worldwide. Low-hanging fruit: modeling (e.g. "correct" movement) & verbal prompting in real-time in the home (!) environment. Leverage commodity hardware. #SAIL20 Persistent gains 4 motor disabilities.
Great summary and insights on our virtual #SAIL20. So proud to have been a part of this w/ @zakkohane @moorejh @suchisaria @nicktatonetti and speakers including @MarzyehGhassemi Cynthia Rudin and more. Can't wait for #SAIL21 in Bermuda! https://t.co/ybu8RPjaO2 #AI #healthcare
"Rebuffed As Overlords, AI Return In Peace To Healthcare, Seeking Partnership With Clinicians." - my latest on AI+HC, based on recent (phenomenal) SAIL presymposium. https://t.co/5jTug6lS3D
Paper pairs nicely with lively discussion from #SAIL20 symposium. @zakkohane & @MarzyehGhassemi offer sobering POV: current medical practice is already incredibly biased - can we use AI to help correct it?
https://t.co/FcECexAAo8
Skip to 26:40 to jump right into the fire
2/2
Video of last week's #SAIL20 presymposium now at https://t.co/mKhSy0p3RR. Next year: Bermuda!
SAIL: Symposium on AI for Learning Health Systems
Org'ed by @zakkohane @suchisaria @jessiet1023 @moorejh @nicktatonetti (@HarvardDBMI @JohnsHopkins @DukeU/@ncdhhs @UPennIBI @Columbia)
Miss the #SAIL20 Virtual Presymposium or want to re-watch a session? π
Check out PANEL 2 - "New frontiers in healthcare AI" with @CCIPD_Case Director @anantm and @nicktatonetti @doc_b_right @GregGdhager @CynthiaRudin (starts at min 1:16:30)
https://t.co/DbZaD9Tyi3 @HarvardDBMI
i would also be remiss not to mention the great studies and panels at #sail20 - check them out here https://t.co/swoMcR0nm7 @GJMooreMDPhD @MarzyehGhassemi @zakkohane @nicktatonetti @suchisaria @CynthiaRudin @jessiet1023
Excited to see the SHIELD-RT study, presented by #RadOnc @julian_hong, posted by @HarvardDBMI as part of #SAIL20 β showing how #machinelearning and targeted patient evaluations resulted in decreased unplanned acute care during #cancer treatment. Watch at https://t.co/B4rdwjolFm
TLDR version: we used #machinelearning at @DukeRadOnc to direct extra evaluations of patients at high risk for acute care (ER visits or hospitalizations) while undergoing @cancer radiation therapy/chemoradiation. This decreased acute care rates from 22% to 12%. (2/5)
@pk_koduri @FJCarmonas @MarzyehGhassemi Whole #SAIL20 discussion now available @youtube https://t.co/f2YYXfmDtn and https://t.co/KIzJQjCWwH
Great discussion at the #sail20 Symposium with @zakkohane @MarzyehGhassemi & colleagues on the obstacles that #ArtificialIntelligence models face as these approach deployment in #healthcare, how these are being tackled, and what the future holds!
#medicine #MachineLearning
So proud of @julian_hongβs work on this- actual prospective evaluation of an #ML algorithm to direct clinical care. As discussed during #SAIL20, we need more studies like this!
Our randomized controlled study of an #EHR-based #machinelearning approach to reduce acute care during #cancer treatment bringing #radonc representation to #SAIL20! Check out the talk here:
https://t.co/FQy0ycBaA0
@UCSF_BCHSI @UCSFCancer @DukeCancer @DukeBiostats (1/5)
Our randomized controlled study of an #EHR-based #machinelearning approach to reduce acute care during #cancer treatment bringing #radonc representation to #SAIL20! Check out the talk here:
https://t.co/FQy0ycBaA0
@UCSF_BCHSI @UCSFCancer @DukeCancer @DukeBiostats (1/5)
NEJM EIC Eric Rubin and International Correspondent Charlotte Haug will participate tomorrow 10/21 in #SAIL20 panel. Still time to register: https://t.co/UdJgQkrsW8
Great afternoon of learning about #AI in healthcare with some amazing panelists. Lots to think about. Donβt forget to check out the posters and presentations. Our talk on #hydronephrosis and ML predictions is here: https://t.co/X33lPJMMTb #Sail20 @mikebrudno @nyulik @laudakris
Wonderful #SAIL20 virtual presymposium today. Thank you to organizers, panelists, and moderators. I think one topic that permeated a lot of the discussion was the role of outcomes in developing algorithms and then in broadly evaluating the use of AI
Ken Ehlert @UnitedHealthGroup comments on distinction between what might be interesting vs impactful in AI apps. Eric Rubin @nejm concurs & focuses on jobs that human canβt do well but @peteratmsr cautions against overconfidence in tech in effecting health impact #SAIL20
Cool story from @JohnsHopkins @GregGdhager about using #ML to triage radiology cases. @anantm says βmerelyβ ranking cases will improve throughput and accuracy. Classic AI augmentation rather than replacing MDs. Importance of understanding problem space. #SAIL20
Greg Hager at #sail20: "#AI has the potential to enable a more holistic and longitudinal approach to #healthcare β rather than treat patients when disease kicks, focus on #wellness preservation through understanding the broader context of the patient"
#MachineLearning #medicine
Now with over 2250 registered attendees [free] very excited to participate in the Symposium on Artificial Intelligence for Learning Health Systems #SAIL20 TODAY at 12 (noon) EST #AI #ML #medicine #implementation
Live now!
Cool story from @JohnsHopkins @GregGdhager about using #ML to triage radiology cases. @anantm says βmerelyβ ranking cases will improve throughput and accuracy. Classic AI augmentation rather than replacing MDs. Importance of understanding problem space. #SAIL20
The 1 pm panel on "New frontiers in healthcare AIβ at #SAIL20 is being moderated by DBMI associate professor @nicktatonetti. Registration information: https://t.co/g8eBrDic11
@MarzyehGhassemi and @Dr_Hightower knock it out of the park at #SAIL20 ! Great talk thanks! Cheers @zakkohane for another great Symposium!
Now with over 2250 registered attendees [free] very excited to participate in the Symposium on Artificial Intelligence for Learning Health Systems #SAIL20 TODAY at 12 (noon) EST #AI #ML #medicine #implementation
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