#439 – The Resource Wire

  • See how 2-meter total body PET gives molecular imaging teams a diagnostic advantage compared to other “eyes to thighs” PET options in this editorial by United Imaging CEO Jeffrey M. Bundy.
  • It says a lot when a solution works so well for a radiology department that they decide to perform a study to quantify its benefits. In this Imaging Wire Q&A, University Hospital of Zurich’s Thomas Frauenfelder discusses his experience and study on Riverain Technologies ClearRead CT.
  • To solve the challenges of enterprise imaging, you’ll need a strategy that addresses today’s needs and future challenges. Answer the questions to see if you’re prepared to formulate a more effective healthcare IT plan.
  • See how Dubai-based healthcare leader Aster DM Healthcare leveraged the CARPL platform to connect its doctors, data scientists, and imaging workflows, and support its AI projects and development infrastructure.
  • Hyperfine’s Swoop Portable MR Imaging System is redefining MR accessibility, deploying MR-enabled decision-making across clinical settings within minutes. But do you know how the Swoop is actually being used? Check out this clinical case study detailing the settings and patient scenarios that the Swoop is supporting today.
  • Do your patients text more than they use CDs? Find out how Novarad’s CryptoChart simplifies image access, combining secure QR codes and text and email communications to help providers and patients ditch the disk.
  • See how Dr. Carolyn Lam evolved from a women’s heart health trailblazer to co-founding Us2.ai and automating the fight against heart disease.
  • 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.
  • 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.
  • Check out this talk from Eliot Siegel, MD on the “Hype, Myth, Reality and Next Steps” of imaging AI, including a profile on Canon’s AiCE Deep Learning Reconstruction solution at around the 4-minute mark.
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-- The Imaging Wire team