Healthcare

iCAD (DeepHealth)

AI breast imaging platform for cancer detection and risk assessment.

Paid ★★★★½ 4.7
breast imaging mammography AI radiology AI cancer detection breast density assessment early detection medical imaging ProFound AI workflow optimization women's health
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About iCAD (DeepHealth)

iCAD develops AI-powered breast health solutions that help radiologists improve the early detection of breast cancer. Its ProFound Breast Health Suite uses deep learning to analyze mammograms, assess breast density, and identify suspicious findings. The platform is designed to increase diagnostic accuracy, reduce reading times, and optimize radiology workflows. iCAD solutions integrate with existing PACS and imaging systems and are used by hospitals, imaging centers, and breast screening programs worldwide. In 2025, iCAD was acquired by DeepHealth, a RadNet subsidiary, expanding DeepHealth's portfolio of AI-driven imaging technologies while retaining the iCAD brand.

Frequently Asked Questions

What is iCAD and how does it support cancer detection?
iCAD, Inc. (now operating under the unified DeepHealth brand following its strategic partnership and integration into RadNet's digital health ecosystem) is a global leader in advanced medical imaging and artificial intelligence solutions. The platform specializes in developing FDA-cleared, CE-marked computer-aided detection (CAD) software built to improve accuracy and speed in cancer screenings. By acting as an automated second set of eyes for radiologists, iCAD's deep learning algorithms review complex clinical imaging in real time, helping physicians detect subtle signs of malignancies earlier while optimizing clinical workflows.
What is the ProFound AI suite and how does it improve mammography?
ProFound AI® is the company's flagship, clinically proven artificial intelligence platform developed explicitly for digital breast tomosynthesis (DBT, or 3D mammography), digital mammography (2D), and breast density assessment. Trained on extensive, diverse datasets, the software scans through each individual 3D slice of a breast tissue scan to detect, flag, and score malignant soft tissue densities and calcifications. Crucially, the system assigns a dynamic Certainty of Finding score and an overall Case Scores metric, giving radiologists immediate clinical decision support. Real-world data shows that implementing ProFound AI reduces radiologist reading time by up to 52.7% while significantly minimizing false positives and unnecessary patient recalls.
How does iCAD's technology address prostate cancer and risk forecasting?
Beyond breast imaging, the platform provides dedicated AI solutions for prostate cancer detection and personalized risk modeling. Its ProFound AI Risk tool represents a major shift from reactive screening to proactive population health by delivering an individualized, short-term breast cancer risk assessment looking one to two years ahead based on a patient's current mammogram. For urological care, ProFound AI for Prostate utilizes advanced deep learning to analyze complex multi-parametric Magnetic Resonance Imaging (mpMRI) scans, automatically segmenting the prostate gland and identifying suspicious lesions to help clinical teams diagnose aggressive prostate cancers with greater confidence.
How does iCAD (DeepHealth) integrate into existing radiology workflows and hardware?
The iCAD and DeepHealth software suite features a completely vendor-agnostic, enterprise-grade architecture designed to integrate into a hospital's existing radiology infrastructure. The platform connects via standard DICOM routing protocols, meaning it works alongside major mammography gantry systems, Picture Archiving and Communication Systems (PACS), and radiology reporting frameworks. Whether deployed via secure cloud environments or local on-premise servers, the software processes images in the background, rendering interactive AI overlays and diagnostic scores immediately within the radiologist's natural, active viewport without adding technical friction.

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