DEEMEA

Your AI-powered Imaging Agent

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Fast track your imaging clinical studies

Deemea’s AI-driven modular platform empowers clinical research teams to streamline the imaging data journey, enhancing efficiency and reliability.

01.

CONNECT

Direct access to healthcare centers' raw data

02.

RETRIEVE

24h from acquisition to results visualization

03.

AI-CURATE

Large deep learning library for quality control

04.

AI-Annotate

Proprietary, open-source, or in-house biomarkers

05.

REVIEW

Tailorable core lab review for standardized results

06.

SHARE

Study monitoring and real-time multisite analysis

Measurable Impact

Through real-world studies and trials of our partners.

Increase in standardization

44 %

27 hours

Workflow from image acquisition to results publication

65 %

Improvement in accuracy

Federated Research Network

Deemea is shaping the future of biomedical research by creating a seamless, AI-powered network where hospitals and institutions securely connect and share collective intelligence. Our infrastructure enables real-time results exchange while ensuring privacy and regulatory compliance. Already deployed across leading healthcare centers in France, Belgium, Germany, Italy, and Spain, we are expanding beyond Europe to build a global ecosystem of medical innovation.

Collaborative Research PACS

Deemea platform connects directly to PACS, ensuring smooth interoperability and instant imaging access across institutions.

AI-Powered Interactive Viewer

A powerful 3D viewer with AI-driven pre-annotations speeds up imaging analysis and enhances precision.

Multicentric Results Visualization

Validated medical data is instantly accessible across all centers, ensuring up-to-date insights for decision-making.

Compliance by design

A trusted solution ensuring confidentiality, security and integrity in every step.

Contact us

Let's discuss how Deemea can transform your imaging clinical studies

Provision of single- or multi-modality high quality datasets and clinical validation platform

Structuring of scattered data from past clinical trials

Management of real-time multicentric imaging data collection and automatic quality control

Coordination of imaging data collection and results for ambispective studies

Real-time evaluation of examinations for pay-for-performance (P4P) model

© 2025 Deemea

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