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Booth #10719

Visit Subtle at RSNA 2019

Booth #10719, North Hall Level 2, right next to the RSNA AI Theater

Presentation
Schedule

Sunday, Dec 1

11:30am - 12:00pm

AI Showcase:  How Subtle Medical can improve operational efficiency and patient satisfaction.

  • Speakers: Greg Zaharchuk, MD, PhD | Enhao Gong, PhD
  • Location: AI Showcase Theater, located in the North Hall, Level 1 of McCormick Place

Monday, Dec 2

12:30pm - 1:20pm

Lunch and Learn: Case studies of how Subtle Medical software solutions improve the clinical productivity, quality & safety of medical imaging.

  • Speakers: Greg Zaharchuk, MD, PhD | Wende Gibbs, MD | Michael Brant-Zawadzki MD, FACR | Hossein Jadvar, MD, PhD
     
  • Location: Request to RSVP

Tuesday, Dec 3

3:30pm - 3:50pm

Introducing SubtleMR–A case study of how one site uses this AI software to improve throughput, quality, and patient experience.

  • Speakers: Lawrence Tanenbaum, MD
  • Location: Public Innovation Theater, located in the South Hall of McCormick Place.

Scientific Talks

  • Infarct Lesion Prediction Using Baseline MRI in Acute Ischemic Stroke Patients: A Comparison Study between Deep Learning Model and Clinical Thresholding Methods:  Sunday, Dec 1, 10:45-12:15 PM | SSA17 | Room: S501ABC
  • Upstream AI: Using Deep Learning to Improve Image Acquisition Quality and Safety: Monday, Dec. 2, 8:30-12:00 PM | RC205 | Room: S406B
  • Accelerating Whole-Body PET Acquisitions Using Deep Learning:  Tuesday, Dec. 3, 10:30-12:00 PM | SSG09 | Room: S504CD
  • Deep Learning-Based Penumbra Estimation Using DWI and ASL for Acute Ischemic Stroke Patients: Wednesday, Dec. 4, 8:30-12:00 PM | RC505 | Room: N228
  • Quantitative Standardization Uptake Value Evaluation of 4x Faster PET Scan Enhanced using Deep Learning:  Thursday, Dec. 5, 10:30-12:00 PM | SSQ14 | Room: S402AB
  • [Poster] Deep Learning-Enabled Acceleration for Multi-Contrast High-Resolution Intracranial Vessel Wall Imaging with 40x Reconstruction Speedup:  Thursday, Dec. 5, 12:15-12:45 PM | NRS-THA | NR Community, Learning Center

Demos