Radiological Society of North America (RSNA)

With new federal legislation impacting radiology practices using AI, RSNA has created a comprehensive FAQ for radiologists about Nondiscrimination in Health Programs and Activities – ACA Section 1557. https://bit.ly/3CHGmoq

MRI image acquisition speed has improved over time through techniques that include faster imaging sequences, parallel imaging, compressed sensing and deep learning-based reconstruction of incomplete images. Deep learning methods work best when they incorporate principles of image physics. However, these methods usually need access to proprietary raw data and detailed information about an MRI system’s hardware and software. average by 29%. In an article published in Radiology Advances, Laura Onac, MSc, Ezra AI Inc., and colleagues from New York University Grossman School of Medicine assessed a vendor-agnostic AI-based approach to removing image degradation artifacts in highly accelerated MRI scans. The new model’s outputs rated better than the original images, with improvements in quality and feature visibility. Resolution was either improved or maintained, and scan time was reduced on “This vendor-agnostic AI-based method achieved robust scan time savings without loss of image quality, potentially allowing for reduced cost and improved patient experience,” the authors conclude. Read the full article, “An Image-Domain Deep-Learning Denoising Technique for Accelerated Parallel Brain MRI: Prospective Clinical Evaluation.” https://bit.ly/3AESbv2

The November issue of Radiology: Artificial Intelligence is now online! https://bit.ly/NewRadAI

Congratulations to all named in the Radiology Business Forty Under 40 Class of 2024! We’re proud to see so many dedicated RSNA volunteers make this list. https://bit.ly/3ATySON

Anticipation is building for the latest ideas and innovations in radiologic science, education and technology! https://bit.ly/4fZRoo5

Each year at the annual meeting, RSNA recognizes select countries for their contributions to radiology and their role in helping shape the profession’s future. This year’s Country Presents sessions will feature Japan and Peru. https://bit.ly/411rAmD

The Editors’ Choice selection from Radiology: Imaging Cancer is Intraprocedural Diffusion-weighted Imaging for Predicting Ablation Zone during MRI-guided Focused Ultrasound of Prostate Cancer. https://bit.ly/4fntpyI

Read the Radiology: Cardiothoracic Imaging selection for Editors’ Choice, MRI in Patients with Cardiovascular Implantable Electronic Devices and Fractured or Abandoned Leads. https://bit.ly/4cpPyKG

The Editors’ Choice selection from Radiology: Artificial Intelligence is Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. https://bit.ly/4fAje9I

While at #RSNA24 make sure to stop by the AI Showcase, sponsored by Bayer | Pharmaceuticals and Subtle Medical. Immerse yourself in AI education and innovation and see all the AI Showcase exhibitors: (LINK)