⌨️ All you need to attend the #SIIMHackathon is a computer and Internet connection. No ✈️ nor 💳️ needed — it's taking place in a hybrid format (virtually and in-person) and costs nothing. 👏️ #SIIM #Hackathon Mohannad Hussain ecs.page.link/MjpoZ

💡️#Hackathon-powered Innovation returning at #SIIM23 via a hybrid format. RT and like to show your excitement 🤜️🤛️ Mohannad Hussain Woojin Kim Christopher J. Roth #SIIMHackathon Jun 7-16 | Hybrid | ecs.page.link/UahEu #SIIM23 Jun 14-16 | Austin, TX | ecs.page.link/VPGDM

Struggling to Troubleshoot & Resolve Interoperability Issues? #SIIMTraining's #ImagingInformatics Toolbox course at #SIIM23 gives you tools & skills for seamless integration of imaging systems. Mohannad Hussain Herman Oosterwijk Jun 13 | Additional Fee Applies ecs.page.link/pTVLu

☢️ Are you an experienced #ImagingInformatics professional looking to upgrade your skills? Attend the Hybrid #SIIMHackathon at no cost and learn DICOMweb, FHIR and other modern APIs relevant to medical imaging ☢️ #SIIM #Hackathon Mohannad Hussain ecs.page.link/MjpoZ

The 2023 #SIIMHackathon is just around the corner! It's a hybrid-format and costs nothing to attend. No coding skills necessary! #SIIMHacks community members can't wait to see you there! Mohannad Hussain ecs.page.link/yeM3v ecs.page.link/zaHhm

💡️ The SIIM Hackathon is not your typical hackathon. We are less focused on competitiveness, and more focused on education, collaboration & innovation. Attend and see for yourself, it is 100% free. 👌️ #SIIM #Hackathon Mohannad Hussain ecs.page.link/MjpoZ

⌨️ All you need to attend the #SIIMHackathon is a computer and Internet connection. No ✈️ nor 💳️ needed — it's taking place in a hybrid format (virtually and in-person) and costs nothing. 👏️ #SIIM #Hackathon Mohannad Hussain ecs.page.link/MjpoZ

☢️ We have the most cohesive and realistic dataset you’ll find anywhere. It's not too late to join to see how the #SIIMHackathon dataset marries EMR and images in clinically-relevant patient narratives #SIIM #Hackathon Mohannad Hussain ecs.page.link/MjpoZ

To say that we had a lot of fun kicking-off the 2023 SIIM Hackathon yesterday would be an understatement. We had a BLAST!!! Some cool ideas are being built between now and June 16hth. Join us on slack at join.slack.com/t/siimhackatho… Thanks to Les Folio, DO, MPH for the screenshot 😉

Mohannad Hussain, Yuri Nikolski, Jay Crawford, and Herman Oosterwijk meeting with Ally Brown, Director of #SIIMTraining at #SIIM23. Swing by our table to chat about our training courses in #PACS, #DICOM® & #HL7® standards, plus custom training options for organizations. 💪🏼👨🏻‍🎓👩🏽‍🎓

Very proud of the hackathon community. Look at all those colourful flags. What an amazing group of people from all ends of this planet. If you count, that's 5 continents represented 😎 SIIM #SIIMHacks

If you aren’t at the #SIIMHacks project presentations, you’re missing out! Phenomenal work from all the teams, some of whom learned about #DICOM and #FHIR JUST THIS WEEK! The future of our profession is bright #SIIM23 Mohannad Hussain Teri M Sippel Schmidt

A deep understanding of FHIR architecture & components is key for effective #MedicalImaging workflows. Join Mohannad Hussain for the #SIIMTraining #HL7FHIR Core Essentials course for hands-on experience! Jul 27 | 10AM-2:30PM ET | Virtual Register | ecs.page.link/oR4E2

External testing of 4 CXR classifiers demonstrated consistent differences in performance on patient, setting, and pathology subgroups doi.org/10.1148/ryai.2… Monish Ahluwalia Mohannad Hussain Trillium Health Partners #DeepLearning #AIBias #MachineLearning

Subgroup analysis is critical when validating image classifiers to identify risks to safe and equitable deployment doi.org/10.1148/ryai.2… Mohannad Hussain Ben Fine Trillium Health Partners #ChestRad #DeepLearning #AIBias

The Subgroup Imperative: Chest Radiograph Classifier Generalization Gaps in Patient, Setting, and Pathology Subgroups doi.org/10.1148/ryai.2… Monish Ahluwalia Mohannad Hussain Trillium Health Partners #AIBias #ML #MachineLearning

Subgroup analysis is critical when validating image classifiers to identify risks to safe and equitable deployment doi.org/10.1148/ryai.2… Monish Ahluwalia Mohannad Hussain Ben Fine #ChestRad #AIBias #AI

Four state-of-the-art deep learning CXR classifiers showed varied performance in different patient, setting, and pathology subgroups doi.org/10.1148/ryai.2… Mohannad Hussain Ben Fine Trillium Health Partners #ChestRad #AI #ML

Four state-of-the-art deep learning CXR classifiers showed varied performance in different patient, setting, and pathology subgroups doi.org/10.1148/ryai.2… Monish Ahluwalia Mohannad Hussain Trillium Health Partners #ChestRad #DeepLearning #MachineLearning

External testing of 4 CXR classifiers demonstrated consistent differences in performance on patient, setting, and pathology subgroups doi.org/10.1148/ryai.2… Monish Ahluwalia Mohannad Hussain Trillium Health Partners #ChestRad #DeepLearning #ML