Quantitative Insights
About Quantitative Insights
Quantitative Insights was a healthcare AI company that developed a computer-aided diagnosis (CAD) system called QuantX, specifically designed to assist radiologists in the more accurate and efficient diagnosis of breast cancer. The company’s platform leveraged machine learning and advanced imaging analysis, integrating a deep database of historical cases to improve both the speed and accuracy of breast abnormality evaluations. Their technology aimed to provide an intuitive workstation for radiologists, enhancing patient management services through advanced research and imaging capabilities.
In July 2019, Quantitative Insights was acquired by Qlarity Imaging. Prior to its acquisition, the company had gained the industry’s first FDA clearance for a machine learning-driven cancer diagnosis system, as indicated by the provided PR Newswire link from 2017. Its focus remained on applying artificial intelligence and machine learning to critical areas within healthcare, particularly in oncology and diagnostic imaging.
What Physicians Need to Know
For physicians, Quantitative Insights' technology, particularly QuantX, offers a significant advantage by augmenting diagnostic capabilities. It provides valuable additional information for multi-modality breast imaging decision support, increasing diagnostic confidence and improving reading times. The system has been shown to reduce missed breast cancers by 39% and achieve a 20% overall diagnostic improvement, enabling more personalized treatments and better patient outcomes. This AI tool is designed to work in conjunction with radiologists, not replace them, by providing advanced analytics and similarity assessments to a robust database of clinically documented pathologies.
Quantitative Insights' core product, QuantX, is a software platform designed to integrate with existing imaging workflows, providing advanced analytics and machine learning capabilities for decision support in breast imaging. It leverages quantitative imaging (radiomics) solutions.
What the Web Says
Quantitative Insights, known for its QuantX product, received the industry's first FDA clearance for machine learning-driven cancer diagnosis, specifically for breast cancer. While this marks a significant technological advancement and positive industry recognition, public reviews from common platforms like G2, Glassdoor, Capterra, and Reddit are notably absent or extremely limited, making it difficult to assess widespread product satisfaction or employee experience.
Overall: MixedStrengths
- First FDA clearance for machine learning-driven cancer diagnosis (QuantX)
- Significant technological innovation in healthcare AI
- Potential to improve accuracy and efficiency in cancer diagnosis
- Positive recognition from regulatory bodies (FDA)
- Addresses a critical need in medical imaging and diagnostics
Limitations
- Lack of readily available product reviews on major platforms (G2, Capterra)
- No discernible employee reviews on Glassdoor
- Limited public discussion or reviews on Reddit
- Difficulty in assessing user experience or company culture due to lack of data
- Specific product features and user interface details are not widely reviewed
Based on reviews from: PRNewswire (for FDA clearance announcement), G2 (no relevant reviews found), Glassdoor (no relevant reviews found), Capterra (no relevant reviews found), Reddit (no significant discussions found)
Last updated: 2026-07-19
Videos
News, demos, and interviews about Quantitative Insights.
Videos load interactively. If none appear, search YouTube for Quantitative Insights →
Press & Coverage
Frequently Asked Questions
Related Companies
e4health is a healthcare consulting and services company that provides innovative solutions to hospitals, health systems, outpatient providers, and physician practices. The company focuses on addressing data, quality, and revenue challenges within the healthcare ecosystem. Their services are designed to streamline health information data and workflows, optimize coding, quality, and clinical documentation integrity processes, and […]
PayZen is a healthcare fintech company that leverages AI and automation to address the growing challenge of healthcare affordability for patients and financial stability for providers. The platform offers personalized, interest-free payment plans, extending up to 60 months, tailored to each patient’s ability to pay. This approach aims to remove financial barriers to care, allowing […]
Healthcare Finance.AI is dedicated to optimizing healthcare revenue cycles through cutting-edge AI technologies. The company aims to improve financial outcomes for healthcare providers while supporting their commitment to quality care and efficiency. Their solutions are designed to enhance revenue cycle efficiency, reduce claim turnaround times, and improve patient billing accuracy. Their platform leverages advanced analytics […]
The American Academy of Family Physicians (AAFP) is one of the largest national medical organizations in the United States, representing over 130,000 family physicians, residents, and medical students. Founded in 1947, its core mission is to improve the health of patients, families, and communities by serving the needs of its members with professionalism and creativity. […]
Imperial College Business School, a faculty of Imperial College London, is a leading institution that integrates business education with science, engineering, medicine, and technology. For physicians and healthcare providers, the Business School offers specialized programs and research focused on the intersection of AI, digital transformation, and healthcare management. Their curriculum is designed to equip healthcare […]
Columbia University, through its online learning platform edX, offers a range of educational programs, including those focused on artificial intelligence and its applications in healthcare. While not a direct AI product company, Columbia University provides foundational and advanced courses that equip physicians and healthcare providers with the knowledge and skills to understand, evaluate, and potentially […]
