Artificial Intelligence enters radiology workflow for breast imaging

Artificial Intelligence is becoming more common place in radiology practices as breast imaging workflows absorb new tools and emerging technologies. Coverage in breast imaging highlights growing attention on mammography, breast MRI, ultrasound, biopsy systems, and cancer detection support.

Breast imaging coverage centers on women’s health technologies including mammography, breast MRI, ABUS, automated breast ultrasound, breast ultrasound, breast biopsy, PEM and positron emission mammography. The category reflects sustained activity across screening, diagnosis, and image-guided intervention, with attention to both hardware and software used in breast care.

Artificial Intelligence is becoming more common place in radiology practices, and emerging technologies are gaining visibility in imaging workflows. A featured video on November 11, 2020 focuses on integrating Artificial Intelligence into radiologists workflow, signaling growing interest in how software can support image interpretation and day-to-day clinical efficiency in breast imaging and broader radiology practice.

Recent breast imaging updates show a market shaped by new devices, analytics platforms, regulatory milestones, and research on screening performance. Examples include FDA clearance for a Breast Acoustic CT scanner, an IND application for a targeted imaging agent, collaboration plans around cloud imaging visualization and quantitative analytics, and curation of a large digital breast tomosynthesis dataset. Other developments span MRI-guided biopsy systems, wearable automated breast ultrasound, visual tumor markers, and studies examining dense breasts, screening risk, and radiologist shortages.

Artificial Intelligence also appears across adjacent coverage areas tied to breast cancer detection and risk assessment. Sponsored and news items point to interest in interval cancers, mammography systems that help flag cases initially interpreted as negative, risk prediction models filed with the FDA, and broader Artificial Intelligence imaging studies in cancer diagnostics. Together, the coverage shows breast imaging evolving through a combination of clinical research, imaging hardware advances, regulatory progress, and software tools designed to support radiologists and improve patient screening pathways.

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