The shift toward wide-angle technology also excites Devine. In tomosynthesis, she says, wide-angle technology improves tissue separation and depth resolution, marking a major leap forward in breast screening.

Ultimately, transformative change is on the horizon, according to Horvath. “AI may move beyond detection to predictive analytics; integrating genetic data, imaging findings, and clinical history to assess individual risk,” he says. He also points out that the “one-size-fits-all” approach to screening is ending, and imaging frequency and modality may be increasingly tailored to each woman’s unique risk factors.


Horvath envisions a more connected ecosystem, moving beyond stand-alone systems to create comprehensive breast health networks. “Imaging, AI, clinical data, and patient engagement tools will work seamlessly together,” he says.

The future of breast imaging, he asserts, lies in precision, comfort, and connection.

As Pathak puts it, the goal is clear: “to ensure breast imaging not only detects disease but helps prevent it.” With AI, patient-centered design, and a focus on equity, these innovations are poised to do just that — making breast care more personalized, accessible, and effective.

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