Transpara

Transpara

Transpara

Country of origin

🇳🇱

Subspecialities

Breast

Modality

MG

Disease targeted

Population

Asymptomatic women

Certification

Certified, Class IIb , MDR

On market since

September 1, 2015

Clinical information

Transpara provides decision support during reading of 2D Full-Field Digital Mammography (FFDM) and 3D Digital Breast Tomosynthetis (DBT) to help improve clinical accuracy, reduce workload and optimize workflow.

Disease targeted

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Sample images

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Sample studies

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Scientific

Stand-Alone Use of Artificial Intelligence for Digital Mammography and Digital Breast Tomosynthesis Screening: A Retrospective Evaluation

Author

Romero-Martín, Sara

Journal

Radiology

Publication

December 14, 2021

AI-based Strategies to Reduce Workload in Breast Cancer Screening with Mammography and Tomosynthesis: A Retrospective Evaluation

Author

Raya-Povedano, José Luis

Journal

Radiology

Publication

May 4, 2021

Impact of Artificial Intelligence Decision Support Using Deep Learning on Breast Cancer Screening Interpretation with Single-View Wide-Angle Digital Breast Tomosynthesis

Author

Pinto, Marta C

Journal

Radiology

Publication

July 6, 2021

Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

Author

Suzanne L. van Winkel

Journal

European Radiology

Publication

May 4, 2021

Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women

Author

Michiro Sasaki

Journal

Breast Cancer

Publication

February 12, 2020

Identifying normal mammograms in a large screening population using artificial intelligence

Author

Kristina LÃ¥ng

Journal

European Radiology

Publication

September 2, 2020

Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System

Author

Rodriguez-Ruiz, Alejandro

Journal

Radiology

Publication

November 20, 2018

Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists

Author

Rodriguez-Ruiz, Alejandro

Journal

JNCI: Journal of the National Cancer Institute

Publication

Artificial Intelligence Detection of Missed Cancers at Digital Mammography That Were Detected at Digital Breast Tomosynthesis

Author

Dahlblom, Victor

Journal

Radiology

Publication

September 1, 2021

Technical information

Input

2D Full-Field Digital Mammography, 3D Digital Breast Tomosynthesis

Integration types

This product does not have Integration types

Trigger

Automatically, right after the image acquisition