- Campbell Arnold
- Oct 1
- 3 min read
“Radiology is at a pivotal inflection point, where smart clinical AI will define scanner performance.”
— Robert Lauritzen, CEO & Co-founder of Cerebriu
Welcome to RadAccess: Impressions, your quick-read companion to the main RadAccess newsletter. Here we only deliver the essential information. For more details, you can always turn to the full RadAccess newsletter.
In this issue, we cover:
Cerebriu’s Big Week: $11.1M Raise + CE Mark w/ Major OEM
Digital Breast Tomosynthesis Increases Sensitivity w/o More False Positives
Increasing imaging capacity with AI
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Cerebriu’s Big Week: $11.1M Raise + CE Mark w/ Major OEM
Cerebriu secured CE-mark approval for its Apollo Smart Protocol and closed an $11.1M funding round led by Denmark’s Export and Investment Fund. Apollo enables real-time, AI-driven MRI protocol adaptation by analyzing abbreviated scans while patients are still in the scanner and recommending additional sequences when pathologies are detected. Importantly, Cerebriu partnered with Siemens Healthineers to embed the tool directly into MRI systems, a step that could accelerate clinical adoption in Europe. With FDA clearance in progress and global expansion plans underway, the company is positioning adaptive MRI workflows as a solution to reduce inefficiencies, minimize recalls, and meet growing imaging demand.
Digital Breast Tomosynthesis Increases Sensitivity Without More False Positives
A Recent Radiology publication showed Digital Breast Tomosynthesis (DBT) boosts cancer detection without driving up false positives. In the nearly 100,000-woman TOSYMA trial, DBT with synthetic mammography showed a 48% increase in detection rates, especially in women with dense breasts. The latest Radiology publication confirmed that this sensitivity gain did not translate into higher false-positive recalls and even improved positive predictive value. While false-positive biopsies were slightly higher, diagnostic efficiency improved overall. For screening programs, these results strengthen the case for DBT as a first-line modality, combining better sensitivity with fewer unnecessary recalls and acceptable biopsy trade-offs.
Increasing imaging capacity with AI
Imaging demand continues to outpace radiologist supply, according to recent JACR studies which highlighting a growing capacity crisis. Traditional solutions, such as reducing demand, expanding the workforce, and adding scanners, will fall short due to changing demographics, training bottlenecks, and high infrastructure costs. The most promising lever is improving efficiency of existing personnel and infrastructure, where even small productivity gains can translate into the equivalent of thousands of new radiologists or scanners. This is where AI shines: it is scalable, transferable across sites, cost-effective, and integrates with existing IT systems. These tools can offer flexible solutions to ease bottlenecks across the imaging workflow.
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References
Sheng, Kaining, et al. "Accuracy of detecting critical findings using abbreviated brain MRI scan protocols as a prerequisite for AI-driven on-the-fly scan protocol adaptation." European Journal of Radiology (2025): 112365.
Weigel, Stefanie, et al. "False-Positive Recall and False-Positive Biopsy Rates in Mammography Screening: A TOSYMA Trial Subanalysis." Radiology 316.3 (2025): e251014.
Heindel, Walter, et al. "Digital breast tomosynthesis plus synthesised mammography versus digital screening mammography for the detection of invasive breast cancer (TOSYMA): a multicentre, open-label, randomised, controlled, superiority trial." The Lancet Oncology 23.5 (2022): 601-611.
Weigel, Stefanie, et al. "Breast density and breast cancer screening with digital breast tomosynthesis: a TOSYMA trial subanalysis." Radiology 306.2 (2022): e221006.
Rawson, James V., Dana Smetherman, and Eric Rubin. "Short-term strategies for augmenting the national radiologist workforce." American Journal of Roentgenology 222.6 (2024): e2430920.
Disclaimer: There are no paid sponsors of this content. The opinions expressed are solely those of the newsletter authors, and do not necessarily reflect those of referenced works or companies.