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Ikonopedia integrates AI into digital breast reporting and MQSA Tracking with CureMetrix

Press releases may be edited for formatting or style | November 24, 2020 Women's Health
RICHARDSON, TEXAS, UNITED STATES, November 24, 2020 /EINPresswire.com/ -- Ikonopedia announced today a new partnership with CureMetrix, Inc., to enhance its next-generation suite of structured breast reporting services. This integrated partnership will provide Ikonopedia clients with highly intelligent triage and detection software as part of its breast reporting and tracking system.

CureMetrix cmTriage™ is the first FDA-cleared AI-based triage solution for mammography in the U.S. It enables a radiologist to triage, sort and prioritize their mammography worklist based on cases that may need immediate attention. Studies have demonstrated up to 30% faster read time for radiologists using cmTriage.

CureMetrix is also currently conducting studies across the globe to expand its AI solutions to also help identify, mark and score anomalies in breast cancer screening. In studies published in the Journal of Digital Imaging, CureMetrix cmAssist® was able to demonstrate the ability to find cancers up to six years before first detection, and help radiologists improve their breast cancer detection rate on average 27% without increasing recall rates.

“The integration of AI with CureMetrix aligns with our founding principles of improving the experience of the radiologists and reducing errors to save women’s lives across the globe,” said Dr. László Tabár, co-founder of Ikonopedia.

Early and accurate detection in breast cancer is key to improving cancer survival rates and, due to the recent pandemic, many women have delayed their mammograms. As practices call back their patients to resume regular screenings, it is even more important that patient flow be streamlined and that mammograms are read accurately to reduce any further delay in detection, diagnosis, or treatment.

Ikonopedia is an innovative structured breast reporting and MQSA management system designed to dramatically improve reporting efficiency and optimize facility operations. All findings are saved as discrete data which allows Ikonopedia to prevent errors, maintain BI-RADS-compliant language and automate many time-consuming processes. Ikonopedia makes it possible to eliminate laterality errors, automatically choose exam-appropriate patient letters and pull forward findings from past exams along with many other time-saving features.

Ikonopedia’s integrated risk assessment tool is now available in dozens of languages and risk data is used to create alerts for the radiologist, populate the clinical section of the report, and automatically update the patient letter. A high-risk patient alert identifies patients with a 20% or greater lifetime risk and information about the score is instantly viewable.

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