Vendor source
Reviewed 8 Oct 2026
Completeness Comprehensive (81%)
The concurrent-read, cancer detection and workflow solution from iCAD analyzes each tomosynthesis image, detecting both malignant soft tissue densities and calcifications. Built on deep-learning and artificial intelligence technology, ProFound AI for breast tomosynthesis assists radiologists in addressing the challenges of reading tomosynthesis. Formerly branded as PowerLook Tomo Detection 2.0
Supported by 7 papers


General Information
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Main task
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Subspeciality
Disease targeted
Regulatory Information
Pathway:
MDD
Class:
Class IIa
Verified by Health AI Register
Pathway:
510(k) cleared
Class:
Class II
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
Tomosynthesis and Synthesized-2D Breast AI Outputs in a Biopsy-Referred Cohort: A Diagnostic Study of Agreement and Incremental Decision-Support Value
Journal of Imaging Informatics in Medicine · Sep 2026
Breast area affects the performance of a commercial artificial intelligence algorithm assessment of negative digital breast tomosynthesis exams
European Journal of Radiology · Apr 2026
Contrast-Enhanced Mammography and Deep Learning-Derived Malignancy Scoring in Breast Cancer Molecular Subtype Assessment
Medicina · Jan 2026
Retrospective evaluation of interval breast cancer screening mammograms by radiologists and AI
European Radiology · Aug 2025
Improved Breast Cancer Detection with Artificial Intelligence in a Real-World Digital Breast Tomosynthesis Screening Program
Clinical Breast Cancer · May 2025
Patient Characteristics Impact Performance of AI Algorithm in Interpreting Negative Screening Digital Breast Tomosynthesis Studies
Radiology · May 2024
Retrospective comparison between single reading plus an artificial intelligence algorithm and two-view digital tomosynthesis with double reading in breast screening
Journal of Medical Screening · Jan 2021
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Source: Vendor | First published: Jun 9, 2024 | Last updated: Oct 8, 2026