The AuntMinnie.com 2020 Virtual Conference takes place April 30 and May 1. The online experience will feature keynote presentations, webinars, interactive trade show booths, and live Q&A sessions focused on top industry subjects.

LA JOLLA, CA, USA, April 21, 2020 — CureMetrix, Inc., a global healthcare technology company that develops AI-driven software for radiology, has joined forces with AuntMinnie and AuntMinnieEurope, along with IBM Watson Health, Nuance and other top global companies to host the AuntMinnie.com 2020 Virtual Conference April 30 and May 1.

With over 200,000 subscribers in the U.S. and Europe, AuntMinnie is among the largest and most comprehensive content providers and community websites for medical imaging professionals worldwide. AuntMinnie frequently hosts virtual events and online learning; however, this conference is its largest virtual meeting to date. The no-cost all-online event will feature keynote presentations, webinars, virtual trade show booths, and live Q&A sessions focused on top industry subjects

Webinars and live sessions will start April 30 at 11:00am EDT

“The COVID-19 pandemic has changed the way we meet, network and exchange ideas and it has opened up new opportunities for professional learning for a wider audience,” said Brian Casey, editorial director, Science and Medicine Group and spokesperson of AuntMinnie and AuntMinnieEurope. “Artificial Intelligence is part of today’s conversation, and we’re delighted to have the participation of CureMetrix in our AuntMinnie.com 2020 Virtual Conference. Their support for this virtual event is helping AuntMinnie.com meet the need for high-quality education and professional interaction in this era of social distancing."

The days’ activities will center around a virtual auditorium, which will host six live keynote speakers and webinars covering several topics. CureMetrix AI innovations and study results will be shared in two webinars, each followed by live Q&A.

• April 30, 2:00pm EDT: “The Clinical Impact of AI in practice”
  • Offers a “Month-in-the-life” view of artificial intelligence for radiology practices—in the era of COVID-19 and beyond.
  • Presented by Alyssa Watanabe, MD, Associate Professor of Medicine at USC Keck School of Medicine and Chief Medical Officer of CureMetrix; and Kevin Harris, President and Chief Operating Officer of CureMetrix.
• May 1, 2:00pm EDT: “The MD Anderson Experience”
  • Explores the economic impact of AI-CAD on mammography
  • Presented by R. Cody Mayo, MD, Assistant Professor at the MD Anderson Cancer Center and Alyssa Watanabe, MD, Associate Professor of Medicine at USC Keck School of Medicine and Chief Medical Officer of CureMetrix.

In addition, CureMetrix presenters and researchers will be available to answer questions throughout the two-day program via its virtual booth which will be open to attendees.

“AI is changing radiology as we know it, helping practices be more efficient while improving patient outcomes,” said Navid Alipour, chief executive officer of CureMetrix. “While practices today are being interrupted due to the pandemic, CureMetrix AI offers innovative solutions to help practices address the inevitable backlog caused by these delays, especially in screening mammograms. cmTriage™ is uniquely positioned to help radiologists better predict and more effectively manage their worklist of cases to drive quality and efficiency into patient care.”

CureMetrix is the developer of cmTriage™ and cmAssist®. cmTriage is the first FDA-cleared AI-based triage solution for mammography in the U.S., offering a solution to help practices identify suspicious cases which may need immediate attention and allow for optimization of clinical workflow. In published studies, cmAssist demonstrated the ability to find cancers up to six years before first detection, and help radiologists improve their breast cancer detection rate by 27% on average without increasing recall rates. In addition, when compared to traditional CAD, cmAssist also demonstrated a 69% reduction in false positives, leading to fewer unnecessary patient recalls and leaving more time for accurate diagnoses.