Meet Optellum team at Radiology Society of North America (RSNA) 2018 Annual congress, the world’s premier radiology conference, from November 26 till 29 in Chicago !
Optellum’s exhibit at the Quantitative Image Reading Room (QIRR) in Hall D provides insights into the clinical validation results presented by Oxford University Hospitals clinicians in the Chest scientific session in Lecture Room S504AB on Tue 27 Nov:
- Performance of a conventional risk model – Brock model – for predicting lung nodule malignancy is improved, by replacing radiologist input, with automated image measurements by a Deep Learning algorithm
SG03-03 Nodule Size Measurement: Automatic or Human-Which is Better for Predicting Lung Cancer in a Brock Model?, at 10:50
- The diagnostic performance of Optellum’s Lung Cancer Prediction AI algorithm, outperforms conventional risk models for overall classification of lung nodule malignancy and rule out of unnecessary follow-up
SSG03-06 Deep Learning for Rule-Out of Unnecessary Follow-Up in Patients with Incidentally Detected, Indeterminate Pulmonary Nodules: Results on an Independent Dataset, at 11:20