Lunit, a medical AI software company, will be returning to the 104th Radiological Society of North America (RSNA) this year, launching its new solution for mammography—Lunit INSIGHT for Mammography.
Lunit INSIGHT for Mammography is a diagnostic support tool that accurately detects malignant lesions suspicious of breast cancer with 97% accuracy. It provides location information of detected lesions in heatmaps and shows abnormality scores that reflect the probability of malignancy. Expected to clear FDA/CE approval for clinical use by late 2019, Lunit INSIGHT for Mammography will open to the public for a free online demo on 19 November.
Lunit INSIGHT for Chest Radiography will also be showcased. Since being launched during last year’s RSNA, it has been tested in more than 1.5 million cases from more than 70 countries. Boasting an unprecedented accuracy level of 97-99%, it detects major chest abnormalities including nodules, consolidation, pneumothorax, and etc. The CAD-based solution is also being integrated into the worklist for prioritization, in which positive cases may be read first in order to decrease turnaround time and increase overall reading productivity.
Other products currently in research will also be available for demonstrations.
- Where: Booth #7561 North
- When: 25-30 Nov 2018, 10:00 am to 5:00 pm daily (except 30 Nov: until 2:00 pm)
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.
A press conference at Lunit booth (#7561 North) is also scheduled after the presentation, at 1:00 pm, 28 Nov 2018. Please send an email to firstname.lastname@example.org if you’d like to rsvp for the press conference and/or if you’d like to schedule a meeting with us.
For more information, please contact:
Jussarang Lee, Communications Manager