[Expert Roundtable] Why Machine Learning Is Changing Medical Imaging

AI in Radiology, Koios News

Learn from the machine learning experts about

  • Why the synergy of radiologists and AI makes healthcare better
  • What IT departments need to know to deploy AI apps
  • How machine learning algorithms are analyzing breast ultrasound images to help improve diagnosis, find more cancers and reduce biopsies
  • How machine learning will enhance efficiency in medical imaging

Learning Objectives

  • How ML streamlines reporting and second opinions
  • The advantages of reducing clinical variance, improving confidence and building trust
  • How to improve radiologist efficiency with significant time savings
  • Why connecting caregivers improves return on investment
  • The impact simplifying IT support has on operations
  • Identifying key stakeholders for planning and deployment

Watch the full webinar from Architecting AI sponsored by Pure Storage here.

Expert roundtable: Why machine learning is changing medical imaging
From left to right: Mary Tierney, Moderator & Chief Content Officer at TriMed Media; Yaffa Landis, VP of Deployment, Quality & Analytics at Koios; Ajit Jairaj, VP of Research & Development at Koios; Dr. Lai Yu, Co-Section Chief for Breast Imaging at Main Street Radiology; Chad McClennan, President & CEO at Koios

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