Artificial intelligence is transforming breast imaging, and a new development could change how women understand their breast cancer risk.

For years, mammography has played a critical role in the early detection of breast cancer. Now, advancements in artificial intelligence (AI) are expanding the possibilities of breast imaging beyond detecting existing abnormalities to predicting a patient’s future risk of developing breast cancer.

A recent announcement from health and wellness company Everlywell highlights just how quickly this technology is evolving.

A New Era of AI-Powered Breast Cancer Risk Assessment

Everlywell has partnered with Clairity to make an AI-powered breast cancer risk assessment available directly to consumers across the United States.

The technology, known as Clairity Breast, analyzes a woman’s existing mammogram to estimate her likelihood of developing breast cancer within the next five years.

Unlike traditional breast cancer risk assessment models, which often rely on factors such as age, family history, and personal medical information, Clairity Breast uses artificial intelligence to identify imaging patterns associated with future breast cancer risk.

The assessment is currently offered through Everlywell for $249 and is available to eligible women who have undergone mammography screening within the previous year.

The technology received FDA De Novo authorization in 2025, marking an important milestone in the use of AI for breast cancer risk prediction.

How Does AI Analyze Breast Cancer Risk?

Traditional mammography focuses primarily on identifying suspicious changes in breast tissue that could indicate the presence of cancer.

AI-powered risk assessment takes a different approach.

Using advanced machine learning algorithms, Clairity Breast evaluates information contained within mammographic images to identify patterns that may be associated with the future development of breast cancer.

The result is an individualized five-year risk estimate that can help patients and healthcare providers make more informed decisions about screening and preventive care.

Importantly, this technology does not diagnose breast cancer or replace a radiologist’s interpretation of a mammogram. Instead, it provides additional information that may support personalized breast health decisions.

Why This Development Matters for Women’s Health

One of the challenges in breast cancer prevention is identifying women who may be at increased risk despite having no known family history of the disease.

Many women who develop breast cancer have no family history, making it important to consider risk factors beyond genetics alone.

AI-based mammography analysis could potentially help identify women who might benefit from additional screening discussions, closer monitoring, or preventive interventions.

For example, a healthcare provider might use an elevated risk estimate as one factor when considering whether a patient should receive supplemental breast imaging, such as breast MRI, or undergo further risk evaluation.

This approach supports a growing movement toward personalized breast cancer screening, where screening recommendations are informed by an individual’s overall risk profile rather than age alone.

What Does This Mean for Mammography Technologists?

As artificial intelligence becomes increasingly integrated into breast imaging, mammography technologists will continue to play an essential role in delivering high-quality patient care.

Although AI can analyze imaging data, its effectiveness depends on the quality of the mammographic images being evaluated.

Proper positioning, adequate compression, image quality, and adherence to established imaging protocols remain fundamental responsibilities of mammography professionals.

As these technologies evolve, mammography technologists may encounter new workflows involving AI-supported image analysis and risk assessment.

Professionals working in breast imaging should be prepared to:

• Understand the basic principles and limitations of AI in mammography.
• Maintain excellent positioning and image acquisition techniques.
• Stay informed about emerging breast imaging technologies.
• Recognize the difference between AI-assisted cancer detection and AI-based cancer risk prediction.
• Communicate effectively with patients who have questions about AI technology while referring clinical interpretation and risk counseling to qualified providers.

While artificial intelligence may enhance the information available to healthcare teams, the knowledge, technical expertise, and patient-centered care provided by mammography professionals remain irreplaceable.

The Challenges of Bringing Mammography AI Directly to Consumers

Despite the excitement surrounding AI-powered risk assessment, several important questions remain.

Cost and accessibility: At $249 per assessment, the technology may not be financially accessible to every patient. Direct-to-consumer availability does not necessarily mean equitable access.

Clinical effectiveness: Although the technology has received FDA authorization, additional research is needed to determine how its use affects screening decisions, cancer detection outcomes, and long-term patient health.

Patient understanding: A risk estimate can be difficult to interpret without appropriate medical guidance. Patients must understand that a higher estimated risk does not mean they currently have cancer, and a lower estimated risk does not guarantee they will remain cancer-free.

Integration into clinical care: Healthcare professionals must determine how AI-generated risk estimates should be incorporated into established screening guidelines and individualized patient care plans.

These considerations reinforce the importance of combining technological innovation with professional expertise and evidence-based medicine.

Continuing Education Is Essential as Breast Imaging Evolves

The introduction of consumer-accessible mammography AI is another example of how rapidly medical imaging technology is advancing.

For mammography technologists, radiologic technologists, radiologists, and other breast imaging professionals, staying current with these developments is increasingly important.

Continuing education helps imaging professionals strengthen their technical knowledge, understand emerging technologies, and adapt to changes in clinical practice.

At Advanced Health Education Center (AHEC), we recognize the importance of ongoing education for medical imaging professionals.

Our mammography training and continuing education opportunities are designed to support professionals throughout their careers, from initial mammography training to advanced breast imaging education.

The Future of Breast Imaging Is Changing

Artificial intelligence is opening new possibilities for breast cancer screening and risk assessment.

The nationwide availability of Clairity Breast through Everlywell demonstrates how AI technology is moving beyond traditional clinical environments and becoming more accessible to patients.

However, technology alone cannot replace the expertise of qualified healthcare professionals.

As AI continues to develop, successful integration into breast imaging will depend on high-quality mammography, appropriate clinical oversight, patient education, and continued research.

For mammography professionals, one thing is clear: the future of breast imaging will require a combination of advanced technology, strong technical skills, and a commitment to lifelong learning.

Stay Ahead of Advancements in Mammography

The field of breast imaging is constantly evolving. Make sure your knowledge and skills evolve with it.

Explore mammography training and continuing education opportunities through Advanced Health Education Center (AHEC).

Visit www.aheconline.com to learn more.

Source: Marty Stempniak, Radiology Business, October 9, 2026. “Health and wellness company begins selling mammography AI directly to consumers for $249.”