iCAD ProFound AI for 2D Mammography & DBT

Detects malignant soft tissue densities and calcifications in 2D Mammography & Digital Breast Tomosynthesis (DBT).

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Overview

Trained with large Mammography and DBT datasets, ProFound AI is a concurrent-read AI solution that rapidly analyses each DBT slice, or mammographic image, detecting both malignant soft tissue densities and calcifications with an unrivalled accuracy, including in dense breasts. 

Similarly, ProFound AI allows radiologists to quickly confirm and validate the absence of cancer. ProFound AI seamlessly integrates into the diagnostic process and offers multi-vendor compatibility.  

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Features

The ProFound AI algorithm rapidly and accurately analyses each individual image, or slice, and identifies potentially malignant lesions. ProFound AI provides radiologists with crucial information, such as lesion certainty of finding and case scores, which assists in clinical decision making and prioritizing caseloads. Certainty of Finding lesion and Case Scores are assigned to each detected lesion and each case respectively.  

These are relative scores computed by the ProFound AI algorithm and represent the algorithm’s confidence that a detection or case is malignant. The scores are represented on a 0% to 100% scale. A higher score indicates a higher level of confidence in the malignant potential of the detection or case. The Certainty of Finding and Case Scores serve as a guide to the interpreting radiologist to aid in determining if a suspicious finding or case needs further workup.

Regulatory clearances:

• ProFound AI for DBT is FDA Cleared and CE Marked. 
• ProFound AI for 2D Mammography is CE marked but NOT FDA Cleared (as DBT is the preferred screening modality is USA).

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Benefits

• Increases radiologists’ average cancer detection rate 
• Improves workflow efficiency 
• Increases diagnostic confidence 
• Optimal integration in multivendor environments 
• Assists in early cancer detection which can lead to earlier treatment and improved outcomes 
• Fewer false positives/unnecessary recalls 
• Improves detection accuracy

Designed for improved diagnostic accuracy, performance and effectiveness, ProFound AI for DBT offers radiologists: 

• 8% improvement in sensitivity (1)
• 6.9% improvement in specificity (1)
• 7.2% reduction in non-cancer recalls (1)
• Up to 52.7% reduction in read time (1) 

Recent clinical studies demonstrated that ProFound AI helped radiologists to increase their average breast cancer detection rate: 

• by 63% for general radiologists (2)
• by 23% for breast subspecialist radiologists (3)

Image examples

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To find out more about iCAD’s solutions, or the 100+ other applications on the Blackford Platform, book a discovery call with our team.

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We’d welcome the opportunity to learn more about your AI needs and to explain how partnering with Blackford can drive efficiency and provide ongoing value.

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(1) Conant EF, Toledano AY, Periaswamy S, Fotin SV, Go J, Boatsman JE, et al. Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis. Radiology: Artificial Intelligence. 2019 Jul;1(4):e180096.

(2) Madden C, Nepute J, Toledano A, Blevins Peratikos M, Delks H, Shisler J, et al. Real-world breast cancer detection before and after the implementation of an artificial intelligence detection system in a digital breast tomosynthesis (DBT) screening program. SBI 2023. 

(3) Schilling KJ, Raton B. Real-world breast cancer screening performance with digital breast tomosynthesis before and after implementation of an artificial intelligence detection system. ECR 2023 – RPS1605.