News | Clinical Decision Support | February 05, 2019

Siemens Healthineers Syngo.Breast Care Adding AI-Based Decision Support

Planned software designed to sort and score cases automatically with Transpara deep learning technology from ScreenPoint Medical

Siemens Healthineers Syngo.Breast Care Adding AI-Based Decision Support

February 4, 2019 — Siemens Healthineers showcased the new planned artificial intelligence (AI)-based features with its mammography reading and reporting solution, syngo.Breast Care, at the 2018 Radiological Society of North America (RSNA) annual meeting, Nov. 25-30 in Chicago.1 These features are designed to provide physicians with interactive decision support.

AI features can help assist clinicians, particularly in cancer screening. A large number of mammograms are performed each day to screen for breast cancer, which means radiologists must accurately interpret hundreds of images daily. Additionally, the increased use of 3-D breast tomosynthesis adds to the number of images to be read. The new version of syngo.Breast Care is designed to give radiologists interactive clinical decision support.

AI-based algorithms are designed to help evaluate individual lesions and provide a system evaluation for 2-D mammograms or tomosynthesis. A peer-reviewed scientific study2 demonstrated increased sensitivity and specificity with the use of AI-based support.

Also, the planned software is designed to sort cases automatically and score those cases with a numerical value between 1 and 10. The case score is designed to take into account any existing lesions, microcalcifications and other abnormalities.   

syngo.Breast Care’s planned new SmartSort technology is designed for radiologists to rank exams according to their preferences based on these case scores. For example, critical cases can be moved immediately to the top to receive priority.

Siemens Healthineers collaborated with ScreenPoint Medical and plans to integrate interactive decision support in syngo.Breast Care. The company’s mammography reading software, Transpara, is based on deep learning and has been trained with over 1 million images.

Transpara received FDA 510(k) clearance for 2-D reading in late November.

For more information: www.usa.siemens.com/healthcare

References

1. Syngo.Breast Care VB40 - powered by Transpara, ScreenPoint Medical - is currently under development. It is not for sale in the U.S. Its future availability cannot be guaranteed.

2 Rodriguez-Ruiz A., Gubern-Merida A., Lang K., et al.: Detecting breast cancer in mammography: a deep learning-based computer system versus 101 radiologists (RSNA abstract 2018).

Related Content

GE Healthcare and Premier Inc. Developing One-stop Breast Clinic Model for U.S.
News | Mammography | October 21, 2019
GE Healthcare and Premier Inc. have announced a collaboration to develop a model to bring a same-day breast cancer...
Laurel Bridge Software Celebrates 20th Anniversary
News | Enterprise Imaging | October 21, 2019
Laurel Bridge Software recently celebrated its 20th anniversary of helping healthcare providers and original equipment...
Densitas Breast Density Assessment Software Joins Nuance AI Marketplace
News | Breast Density | October 21, 2019
Densitas Inc. announced that its U.S. Food and Drug Administration (FDA)-cleared densitas densityai breast density...
FDA Clears AiCE Image Reconstruction on Canon's Aquilion Precision CT

Image courtesy of Canon Medical Systems

Technology | Computed Tomography (CT) | October 21, 2019
Canon Medical Systems USA Inc. has received U.S. Food and Drug Administration (FDA) 510(k) clearance on its Advanced...
The Revolution Apex intelligent computed tomography (CT) scanner

The Revolution Apex intelligent computed tomography (CT) scanner. Image courtesy of GE Healthcare.

News | RSNA | October 18, 2019
At the 2019 annual meeting of the Radiological Society of North America (RSNA 2019), Dec. 1-6 in Chicago, GE Healthcare...
Selecting an AI Marketplace for Radiology: Key Considerations for Healthcare Providers
Feature | Artificial Intelligence | October 18, 2019 | Sanjay Parekh, Ph.D.
October 18, 2019 — As the nascent market for...
Surgical Institute of Reading Chooses RamSoft's PowerServer Lite PACS
News | PACS | October 18, 2019
Surgical Institute of Reading recently selected RamSoft’s PowerServer Lite PACS (picture archiving and communication...
MaxQ AI's Intracranial Hemorrhage Software to be Integrated on Philips CT Systems
News | Artificial Intelligence | October 18, 2019
Medical diagnostic artificial intelligence (AI) company MaxQ AI announced that its Accipio intracranial hemorrhage (ICH...
Siemens Healthineers Announces First U.S. Install of Multix Impact Digital Radiography System
News | Digital Radiography (DR) | October 18, 2019
DHR Health in Edinburg, Texas, recently became the first healthcare facility in the United States to install the Multix...
While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology IT vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with internet connection and pull images from radiology and surgery.

While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology information system vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with an internet connection and able to pull in images from both radiology and surgery. 

Feature | Enterprise Imaging | October 17, 2019 | Steve Holloway
October 17, 2019 — The growing influence and uptake of electronic medical records (EMRs) in healthcare has driven deb