iCAD

company

Company Information

Address: 98 Spit Brook Rd Suite 100 Nashua, NH 03062

Products

PowerLook Tomo Detection V2 Software

Released:12/6/2018

Regulator:FDA

PowerLook Tomo Detection V2 Software by iCAD Inc. is an AI-based computer-assisted detection and diagnosis tool that helps physicians identify suspicious lesions and calcifications in digital breast tomosynthesis images. It provides confidence scores to assist in evaluating findings, improving radiologist accuracy and reducing reading time during breast cancer screening exams.

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PowerLook Density Assessment V4.0

Released:7/12/2021

Regulator:FDA

PowerLook Density Assessment V4.0 is a software tool that analyzes synthetic 2D images from digital breast tomosynthesis exams to provide breast density categories using the ACR BI-RADS 5th Edition. This helps radiologists assess breast tissue composition as an adjunctive aid, improving breast cancer screening processes.

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ProFound AI Software V3.0

Released:3/12/2021

Regulator:FDA

ProFound AI Software V3.0 is an AI-based medical imaging software that aids radiologists by detecting and highlighting suspicious soft tissue densities and calcifications in 3D digital breast tomosynthesis images. It provides confidence scores that help clinicians identify potentially malignant findings more quickly and accurately during breast cancer screening and diagnosis.

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ProFound AI Software V2.1

Released:10/4/2019

Regulator:FDA

ProFound AI Software V2.1 is an AI-based software designed to assist radiologists in detecting soft tissue densities and calcifications in 3D digital breast tomosynthesis images. It highlights suspicious breast lesions by marking areas in the images and assigns confidence scores to help physicians identify likely malignant regions, supporting earlier and more accurate breast cancer diagnosis.

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ProFound Detection (V4.0)

Released:11/8/2024

Regulator:FDA

ProFound Detection V4.0 is an AI-powered software designed to assist radiologists by detecting suspicious soft tissue densities and calcifications in 3D digital breast tomosynthesis (DBT) images. It helps identify potential malignant lesions by marking findings and providing confidence scores, thus supporting earlier and more accurate breast cancer detection during image interpretation.

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