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Open-source framework enhances multi-center radiology study monitoring

By PulseAugur Editorial · [2 sources] ·

Researchers have developed an open-source monitoring framework designed to improve data exploration and progress tracking in multi-center radiology studies. This lightweight architecture, built on Grafana and Prometheus, aggregates metrics from various study sites and presents them via configurable dashboards. It has been integrated into the Kaapana medical imaging platform and successfully deployed within the Germany-wide RACOON consortium, involving 38 university clinics. The framework aims to facilitate transparent coordination and efficient management of large-scale, distributed research efforts while preserving privacy. AI

RANK_REASON The cluster describes a research paper detailing an open-source framework for a specific application domain. [lever_c_demoted from research: ic=2 ai=0.4]

Read on arXiv cs.CV →

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Open-source framework enhances multi-center radiology study monitoring

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The cluster describes a research paper detailing an open-source framework for a specific application domain. [lever_c_demoted from research: ic=2 ai=0.4]
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Markus Bujotzek, Jonas Scherer, Stefan Denner, Peter Neher, Benjamin Hamm, Lorenz Feineis, Uenal Akuenal, Andreas Bucher, Tobias Penzkofer, Klaus Maier-Hein ·

    An Open-Source Monitoring Framework for Data Exploration and Progress Tracking in Multi-Center Radiology Studies

    arXiv:2606.16861v1 Announce Type: new Abstract: Multi-center studies are crucial for advancing medical and radiological research. Data exploration, collaboration discovery, and study progress monitoring are essential for maximizing their potential. However, in practice these proc…

  2. arXiv cs.CV TIER_1 English(EN) · Klaus Maier-Hein ·

    An Open-Source Monitoring Framework for Data Exploration and Progress Tracking in Multi-Center Radiology Studies

    Multi-center studies are crucial for advancing medical and radiological research. Data exploration, collaboration discovery, and study progress monitoring are essential for maximizing their potential. However, in practice these processes often rely on manual communication and sha…

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