- The Intelligent Interactive Educational Technology from DetectedX has Shown a 
34% Improvement in the Accuracy of Diagnosing Difficult Cases

DetectedX (https://detectedx.com/) announced today that it will launch its 
Radiology Online Learning Platform to radiologists in the United States at the 
SBI/ACR Breast Imaging Symposium 2022, in Savannah, GA, May 16-19 (Booth #221). 
Designed to improve radiologists' ability to correctly detect breast lesions in 
2D and 3D Mammography, the online self-assessment modules have been shown to 
improve cancer detection by over 34 percent. 

As part of the U.S. launch, DetectedX will also release the next generation of 
its intelligent interactive educational platform, which features micro-learning 
tools, including quizzes and expanded educational content and videos. The new 
learning tools will feature new breast and lung educational content, as well as 
Medical Physics, Radiation and Artificial Intelligence topics. 

For more information or to schedule an appointment, visit DetectedX SBI 2022 
(https://detectedx.com/sbi-2022/)

DetectedX was founded to help radiologists and doctors worldwide to diagnose 
cases of breast cancer (https://detectedx.com/platforms/breast-cancer/), lung 
cancer (https://detectedx.com/chest/), and COVID-19 
(https://detectedx.com/chest/) faster and more accurately. The on-demand, 
web-based training platform, which improves radiological detection rates based 
on intelligent interactive educational technology, is currently in use by more 
than 3,000 users in more than 150 countries, including a number of national 
screening services and international professional societies in Australia, 
Ireland, New Zealand, Slovenia, Italy and Vietnam. In addition, DetectedX has 
marketing and distribution partnerships with Volpara Health, Fujifilm and GE 
Healthcare. 

"The online mammographic test sets available through DetectedX are invaluable 
to the education of radiologists and trainees," said Dianne Georgian-Smith MD, 
FSBI, FACR.

DetectedX's innovative educational technology enables Radiologists to review, 
in real time, an enriched cohort of 2D mammography and Digital Breast 
Tomosynthesis (3D mammography) cases with varying levels of difficulty. The 
on-demand, online training packages provide immediate feedback on reading 
performance, comparing the user's classification to the pathology-verified 
ground truth for each case. Using several metrics including sensitivity, 
specificity, true positive, true negative, false positive and false negative 
scores to gauge their performance, radiologists are able to identify errors and 
focus future trainings on areas of need to improve performance for earlier and 
more accurate disease diagnoses. Upon successful completion of each training 
module, users receive Continuing Medical Education (CME) 
(https://detectedx.com/cme-cpd-points/) credits. 

"High quality, accurate readings of mammograms are critical to the early 
detection of breast cancer. However, varying levels of skill and experience 
among radiologists reading mammograms can contribute to interpretation errors 
and variations, which can have a significant impact on patient care and 
outcomes," said Professor Patrick Brennan, CEO DetectedX and Chair, Diagnostic 
Imaging, University of Sydney. "Our ultimate goal with the Radiology Online 
Learning Platform is to help radiologists diagnose breast cancer faster and 
more accurately, giving women worldwide a better chance of cancer survival."

ABOUT DETECTEDX

DetectedX's Radiology Online Learning Center, focusing on diagnostic accuracy 
and driven by artificial intelligence, is revolutionizing disease detection in 
150 countries. The on-demand, web-based training platform has been proven to 
improve the accuracy of diagnosing difficult cases by 34%. DetectedX was 
founded by Professor Patrick Brennan, a leading medical radiation scientist 
with $40+M in research funding and 500+ publications, Prof. Mary Rickard, 
Australia's number one breast imaging clinician expert scientist who pioneered 
Australia's Breast Screening program, and Dr. Moe Suleiman, one of the world's 
leaders on optimizing radiologic interpretation.

SOURCE: DetectedX