Accelerating innovation in diagnostic support through medical annotation

In the medical sector, automated image analysis (MRI, scanners, x-rays) is becoming a key lever for accelerating diagnosis and supporting clinical decisions. However, the performance of AI models depends on access to databases that are rigorously annotated by experts.

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The mission

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Structuring an annotation pipeline to segment and classify anatomical structures and anomalies on medical images.

To meet this requirement, Innovatiana has implemented a robust methodology combining:

• The intervention of medical specialists for the detailed annotation of pathological areas and organs of interest;
• The integration of cross-validation processes to ensure reliability and compliance with clinical standards.

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The results

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• Certified datasets, enriched with precise clinical labels, adapted to regulatory requirements;
• A significant increase in the performance of AI models in detecting pathologies and in automatically triaging critical cases;
• An acceleration of the development of diagnostic support tools for health professionals.

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👉 Read our article : Learn how accurate medical annotations increase the reliability of AI models in the service of health.