Radhelper PLLC (@radhelper) profile picture

Medical Imaging Expert and Consultant

Chicago, Illinois, USA
Joined January 2010
Photo by Radhelper PLLC (@radhelper)Photo by Radhelper PLLC (@radhelper)Photo by Radhelper PLLC (@radhelper)Photo by Radhelper PLLC (@radhelper)Photo by Radhelper PLLC (@radhelper)Photo by Radhelper PLLC (@radhelper)Photo by Radhelper PLLC (@radhelper)Photo by Radhelper PLLC (@radhelper)Photo by Radhelper PLLC (@radhelper)Photo by Radhelper PLLC (@radhelper)
Radhelper PLLC retweeted
FYI, @US_FDA cleared AI/ML-Enabled Medical Devices by specialty: Radiology 241 Cardiovascular 41 Hematology 13 Neurology 12 Ophthalmic 6 Chemistry 5 Surgery 5 Microbiology 5 Anesthesia 4 GI-Urology 4 Hospital 3 Dental 1 Ob/Gyn 1 Orthopedic 1 Pathology 1 fda.gov/medical-devices/soft…
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Want to be an interactive part of IPR 2021 in Rome? The Case of the Day is a fun and interactive part of the upcoming congress. @SocPedRad and @ESPRSociety are now collecting cases for IPR 2021 in Rome and online, October 11-15, 2021! More info at: iprcases.org/
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Radhelper PLLC retweeted
Excellent @radiology_rsna article: #ArtificialIntelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology ow.ly/YjGP30rkiN5 @RADAIDIntl #GlobalHealth #AI @Radiology_AI
Radhelper PLLC retweeted
Artificial intelligence has turned from pie in the sky to something tangible and reimbursable. This month the JACR focuses on practical AI @radhelper with an overview of the issue 👉bit.ly/3eylKyP 👈
Would love to implement this pathway for residents. Thank you @walterfwiggins and @kpa_kathy
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T -1 day: Don't miss the @Radiology_AI #RadAIchat on #AI Competitions TOMORROW Wednesday at 8 PM ET, moderated by @PaulYiMD and featuring @kalpathy1 @cd_fuller @asset25 @MonganMD. #DeepLearning #MachineLearning @cekahn @DaniaDaye @HElhalawaniMD
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This was a team effort co-lead by @ruthcarlosmd and @arosenkrantzmd. Thank you for entrusting me with this timely topic and focus issue.
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Thank you @asset25 for your contribution to the issue. The trainee narrative is so critical to the success of this technology and for the future of the specialty.
This issue is pure gold. So much practical info on #AI implementation, purchasing, experience, workflow, and more! Great work @radhelper @ruthcarlosmd and team!
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During talk by Dr. Safwan Halabi (@radhelper) of ⁦@StanfordRad⁩, he mentioned many #AI companies are working on algorithms for clinical #radiology practice but according to ⁦@EricTopol⁩, we have 0 #AI peer reviewed publications to validate them @SIIM_Tweets #SIIM19
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Wisdom and advice about optimizing imaging workflow brilliantly delivered by @RadKottler @Rad_Partners #SIIM19. Join us for afternoon scientific session in Adams B
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"The UI of AI" A call to action to prime #AI development from beyond utility to experiential. 💥 Great session today at #SIIM19. #AtriumHealthProud #hcldr #pinksocks – at Colorado, USA
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Let’s start to have fun with this new exciting pneumothorax competition on @kaggle ! Automatically classify and segment this pathology on chest xrays. kaggle.com/c/siim-acr-pneumo… Thanks @SIIM_Tweets, @RadiologyACR @thoracicrad and md.ai for leading the effort !
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How technologists can save radiologists valuable time @ARRS_Radiology #imaging #radiology #healthcare ow.ly/BPi950uIpL0
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Radhelper PLLC retweeted
Should noncontrast MRI be the first-line imaging test in children with suspected appendicitis? Dillman and Trout discuss the findings by Mushtaq et al. @therealjonadill @AndrewTroutMD @CincyKidsRad ow.ly/4Aft50luzYd
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Online now: Exploration of #fluoroscopy time and dose area product (DAP) for estimation of radiation exposure in #peds fluoro - each has limitations and both may need to be monitored given breadth of patient age and size in #pediatrics ow.ly/G3pO30niPUY #PedsRad
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Fe del Mundo’s 107th Birth Anniversary! #GoogleDoodle g.co/doodle/3cx7rz
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Really impressed with virtual non-contrast CT images from ⁦@DukeRadiology⁩ group and Dr Mathias Meyer. Very compelling. #ISCT2018 #ALARA
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Radhelper PLLC retweeted
This article should give us all pause regarding training data sets being used for #radiology #AI software development - jacr.org/article/S1546-1440(… - If we're majorly wrong ~20% of the time, we need to think about how we're making our data sets? Not everything can be "path-proven"
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It’s Hard for Doctors to Unlearn Things. That’s Costly for All of Us. nytimes.com/2018/09/10/upsho…