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Lunit’s Science Sessions at RSNA 2018
-Lunit to present six abstracts in medical AI: AI in radiology; breast imaging and chest
-Brandon Suh, CEO, to present on Wednesday, 28 Nov at Machine Learning Theater

21 November 2018—Lunit, a medical AI company, will be presenting six abstracts during RSNA 2018, mainly consisted of its latest findings and studies based on Lunit’s world-leading artificial intelligence / deep learning technology in medical imaging such as mammography and chest radiography. The science sessions will be held on Monday 26th and Wednesday 28th, presented by researchers and doctors from Lunit.

On Wednesday, 28 Nov. 12:00 pm, Brandon Suh, the new CEO of Lunit, will be on stage at Machine Learning Theater to give a presentation. Titled, “From AI-powered Diagnostic Support Tools to Imaging Biomarkers: Aiming Beyond Human-Level Accuracy,” Brandon will provide an overview of Lunit’s recent achievements and future developments.

Lunit’s RSNA2018 booth can be found at #7561 North Hall.

Please see below for the full list of presentations and sessions prepared by Lunit.


Main presentation

Wednesday, Nov. 28 12:00 - 12:20 PM
MACHINE LEARNING THEATER
From AI-powered Diagnostic Support Tools to Imaging Biomarkers: Aiming for Beyond Human-Level Accuracy
Presented by Lunit, Inc. Brandon B. Suh, MD, MPH, MBA
ML43 | MACHINE LEARNING SHOWCASE NORTH HALL

Other Sessions

Monday, Nov. 26
SCIENCE SESSION WITH KEYNOTE: INFORMATICS (AI IN RADIOLOGY: BLEEDING EDGE) 10:50-11:00 AM, ROOM E450A

  • Multi-Stage Deep Disassembling Networks for Generating Bone-Only and Tissue-Only Images from Chest Radiographs (SSC09-03)
    Presented by Lunit, Inc. Jaehong Aum, PhD

Wednesday, Nov. 28
BREAST IMAGING (AI)
11:00-11:10 AM / 11:40-11:50 AM, ROOM E451B

  • Data-Driven Imaging Biomarker for Breast Cancer Screening in Mammmography-Reader Study (SSK02-04)
    Presented by Lunit, Inc. JungYin Huh, MD

  • Data-Driven Imaging Biomarker for Breast Cancer Screening in Digital Breast Tomosynthesis (SSK02-08)
    Sungwon Kim, MD, Severance Hospital, Yonsei University College of Medicine


SCIENCE SESSION WITH KEYNOTE: CHEST (AI/DEEP LEARNING)
11:20-11:30 AM 11:30-11:40 AM, ROOM N227B

  • Performance Validation of a Deep Learning-Based Automatic Detection Algorithm for Major Thoracic Abnormalities on Chest Radiographs (SSK05-06)
    Eui Jin Hwang, MD, Seoul National University Hospital and College of Medicine

  • Deep Learning-Based Automatic Detection Algorithm for the Detection of Major Thoracic Abnormalities on Chest Radiographs (SSK05-07)
    Presented by Lunit, Inc. Sunggyun Park, PhD

CHEST WEDNESDAY POSTER DISCUSSIONS
12:45-1:15 PM, CH COMMUNITY, LEARNING CENTER STATION #6

  • Development and Validation of a Deep Learning-Based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs (CH295-SD-WEB6)
    Eui Jin Hwang, MD, Seoul National University Hospital and College of Medicine

For more information, please contact:

Jussarang Lee
Communications Manager
julee@lunit.io
+82-10-3084-5064