Equium Intelligence

Equium is now a part of @RadAI! Enabling scheduling flexibility and automation to improve work-life balance, autonomy, and productivity.

[Equium Intelligence @EquiumIo]

We are proud to announce that Equium Intelligence has been acquired by Rad AI. @EquiumIo and @radai have a shared vision of enabling AI to empower radiologists and reduce burnout. We’re thrilled to be joining forces to advance radiology together! #RSNA22

[Equium Intelligence @EquiumIo]

Farewell to #RSNA22! This will be the final booth tear down (and final @RSNA) for Equium Intelligence. See you at #RSNA23 next year at the @RadAI booth!

[Rishi Seth, MD @rishisethmd]

Exited to work with @woojinrad @wboonn and the whole @EquiumIo team on building more amazing #workflowAI products!

Welcome to the @radai team!!

[Khan M. Siddiqui, MD @drkhan]

https://t.co/0G2s1ElC3a acquired @EquiumIo - insights from John Adziovsky.

[Laura Heacock, MD @heacockmd]

In the middle of all the science excitement of #rsna22, a reminder that there are also interesting business radiology AI developments being announced. @radai has acquired @EquiumIo (smart scheduling/forecasting), continuing their run on non-interpretive AI for radiology.

[Equium Intelligence @EquiumIo]

Day 1 in the books! A whirlwind of activity today starting with the announcement of the acquisition by @radai followed by meetings with customers, partners, friends and former colleagues. #RSNA22

[Equium Intelligence @EquiumIo]

Press release: https://t.co/5Iko4LHmWE

[Equium Intelligence @EquiumIo]

We are proud to announce that Equium Intelligence has been acquired by Rad AI. @EquiumIo and @radai have a shared vision of enabling AI to empower radiologists and reduce burnout. We’re thrilled to be joining forces to advance radiology together! #RSNA22

[Woojin Kim @woojinrad]

@EquiumIo @radai @wboonn @johnpaulett We are excited to advance and bring to the clinical workflow of #radiology the non-interpretative, operational AI through an AI-enabled worklist with intelligent routing and prioritization based on forecasted workload and capacity. #RSNA2022 #RSNA22 #ImagingInformatics #ImagingAI

[Rad AI @radai]

First day of @RSNA and we are exited to share BIG news! We are thrilled to announce Equium Intelligence is now a part of @radai. This acquisition positions Rad AI as the leader in non-interpretative, operational AI.

https://t.co/DwaOULVQYu

#RSNA22 #Radiology #Radiologist

[Equium Intelligence @EquiumIo]

We are thrilled to participate again at this year's @RSNA IAIP demonstration. We will demonstrate how our #AI solution interacts with @Hyperfine, @SubtleMedical, and @QveraHL7 to optimize scanner resources.

#ImagingAI #RSNA22 #RSNA2022

[Mohannad Hussain @mohannadhussain]

I am definitely biased here... But I think everyone going to #RSNA22 must check out the Imaging AI in Practice Demo (Booth 4329).

We've been hard at work putting this demo together since April. The video below will give you a taste of what to expect
https://t.co/ab7rVjbhhR

[Equium Intelligence @EquiumIo]

Are you going to #RSNA2022? Come and see Equium to learn how #DemandForecasting can improve productivity and increase revenues for your practice while reducing burnout and enhancing work-life balance for #radiologists.

#ImagingAI #radiology #RSNA22

[Equium Intelligence @EquiumIo]

We are excited to partner with @Blackford to bring AI-driven demand forecasting to radiology, enabling you to predict future workload, demand, and capacity to optimize staffing and imaging scanner resources.

#ImagingAI #RSNA2022 #RSNA22 #ImagingInformatics #radiology

[Equium Intelligence @EquiumIo]

Don’t miss the webinar by @woojinrad, CMO of Equium Intelligence, speaking on AI in Medical Imaging, hosted by @DigiHealthCA! https://t.co/CpgiaV4hYB

[Woojin Kim @woojinrad]

I look forward to speaking at today's webinar on AI in medical imaging and sharing the fear, hype, reality, and challenges of #AI in medical imaging and looking beyond the pixels.

#webinar #MachineLearning #DeepLearning #ImagingAI @EquiumIo

[Digital Health Canada @DigiHealthCA]

Join us at 12PM ET October 26 for a close look at #AI in medical imaging (and more) with @woojinrad of @EquiumIo. Digital Health Canada members register at https://t.co/mxrjm6dhSm. Not a member? Join today for free #webinarwednesdays and other member benefits!

[SIIM @SIIM_Tweets]

Thanks #SIIM22 Bronze Sponsors! https://t.co/s7foyWwCqC
@AltamontSw @ApolloEICorp @bialogics @CandelisInc @databrackets @deepchealth DeepHealth DeepLook @desacc @dcmsys Double Black Imaging @EizoUSA @emtelhealth @EquiumIo FlowSIGMA, Inc. @GesundAi @ImageBiopsyLab

[Equium Intelligence @EquiumIo]

Going to #SIIM22? Visit us at Booth #11 and see how Equium Intelligence's resourcEQ forecasts upcoming workload and work intensity to enable intelligent workflow, scheduling, and staffing decisions.

[Equium Intelligence @EquiumIo]

Don’t miss @EquiumIo co-founder @woojinrad’s talk tomorrow at #SIIM22! Learn how demand forecasting can optimize and balance workload demands with workforce capacity.

[Woojin Kim @woojinrad]

Are you attending #SIIM22? Tomorrow @ 3 PM ET, I will be sharing how non-interpretative, administrative #AI in #radiology can be used in #DemandForecasting to forecast workload & capacity to optimize scanner resources and improve physician work-life balance & ⬇️ #burnout.

[Woojin Kim @woojinrad]

#Radiology Facing a Global Shortage

#DemandForecasting is an area within #ImagingAI that can help with the growing shortage of radiologists and increased workload.

https://t.co/A8kngnz0b3
@RSNA @EquiumIo

[Woojin Kim @woojinrad]

Conquering Burnout in Radiology Practices

"...we can approach burnout systemically, deploying strategies and tactics to take care of our colleagues in more intentional ways."

https://t.co/Um4cJKFJGm
@ChrisMattern_MD @Rad_Partners @EquiumIo #burnout #radiology @Dx_imaging

[Woojin Kim @woojinrad]

I am looking forward to sharing use cases of non-interpretative, administrative #AI in scheduling, resource management, scanner utilization, and #demandforecasting in #radiology at #SIIM22.

#ImagingAI #ImagingInformatics #radiology @EquiumIo