#424 – The Resource Wire

  • See how Einstein Healthcare Network reduced its syringe expenses, enhanced its syringe loading, and improved its contrast documentation when it upgraded to Bayer Radiology’s MEDRAD Stellant FLEX CT Injection System.
  • Check out this patient case study showing how the Arterys Chest I MSK AI solution helped emergency physicians spot two rib fractures in a shoulder pain exam that might have gone unnoticed.
  • Considering your short and long-term AI plan? Check out Canon Medical’s State of AI Roundtable, sharing insights into how imaging AI is being used, where it’s needed most, and how AI might assume a core role in medical imaging.
  • Symbia SPECT/CT has a great history, and there is more to come. Be among the first to see how Siemens Healthineers’ Symbia SPECT/CT is taking major steps in patient access, ease of use, and clinical versatility at their virtual launch event on June 9th.
  • Over 9 out of 10 people who should be screened for lung cancer aren’t, and nearly 50% of lung cancer cases are caught in the advanced stages. We know from prostate and breast cancer screening that clear guidelines and increased screening saves lives. But lung cancer screening has been challenging. Riverain strives to make everything about the lungs clearer, so they assembled this resource page for anyone interested in starting or improving their lung screening program.
  • Catch the Intelerad team at SIIM 2022 this week, where they’ll be participating in panels discussing the cloud, data anonymization, and diversity, equity, and inclusion (including Intelerad’s partners from RADequal – formerly RADxx).
  • Have more echo studies than sonographers? See how Us2.ai was able to classify, segment, and annotate echocardiographic videos with similar accuracy as expert sonographers. 
  • Imaging’s cloud evolution didn’t happen all at once. This Change Healthcare animation details the history of digital imaging architectures, and how cloud-native imaging improves stability and scalability, ease of management, patient data security, and operating costs.
  • Women’s imaging has come a long way, but operational efficiency remains a challenge for many facilities. To help address this challenge, this Fujifilm post details the five questions women’s imaging facilities should ask when evaluating workflow management solutions.
  • See how Thomas Jefferson University relied on CARPL.ai to accelerate its AI validation and clinical adoption in this presentation by informatics and AI leader, Dr. Paras Lakhani.
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