AI CAD tools: Enhancing clinical confidence in breast care for ABUS AI: Helping to enhance clinical confidence and operational efficiency

 
Doctor Viewing Breast Scan
 
AI: Helping to enhance clinical confidence and operational efficiency using Invenia ABUS 2.0
 
 
When it comes to AI for automated breast ultrasound, many clinicians feel it could be a great help in clinical support. In fact, recent GE Healthcare research showed 98% of physicians surveyed thought AI tools on ABUS would be helpful for their departments.1
AI and ABUS Today for Breast Care
In fact, real-world results show that adding FDA-approved AI tools* to ABUS can help users improve clinical confidence, streamline their readings and actually decrease benign biopsies.
 
 
93%  
  93%
  31%
 
 
The Invenia ABUS Viewer, now featuring AI Assistant, enables enhanced review of 3D ABUS datasets.
 
 
The powerful AI Assistant seamlessly integrates intelligent algorithms to assist in detecting and characterizing breast lesions, helping radiologists increase their reading speed with a great degree of confidence. The Invenia ABUS AI Assistant now includes two new integrated AI application options.*  
ABUS-AI rings
 
 
Hear from your peers
"The integration of CAD/ABUS as a standard offering for radiologists will revolutionize our way of screening asymptomatic women with dense breasts."
László Tabár, M.D., F.A.C.R. (Hon), Professor Emeritus of Radiology,
Uppsala University, Faculty of Medicine, Sweden
 
 
LEARN MORE
 
 
*Available third-party tools include QVCAD™ and KOIOS DS™ Breast.

1. ABUS & AI CAD Market Assessment Report, conducted for GE Healthcare by EMeRG, July 2021
2. Performance and Reading Time of Automated Breast US with or without Computer-aided Detection. Read More: https://pubs.rsna.org/doi/10.1148/radiol.2019181816
3. Interpretation Time Using a Concurrent-Read Computer-Aided Detection System for Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breast Tissue (Yulei Jiang) Read More: https://www.ajronline.org/doi/10.2214/AJR.18.19516
4. Mango et al. Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment. AJR, June 2020: 214: 1145-1452

© GE, 2021
GE, the GE Monogram and Invenia are trademarks of GE. QVCAD is a trademark of QView Medical, Inc.
KOIOS DS is a trademark of Koios Medical, Inc.
 
 
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