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Gesund ai is Selected to Present at MICCAI, a Leading Event in Medical AI

We are pleased to announce that our paper “Ensuring Clinically Reliable AI: A Scalable Approach for Data Harmonization, Validation, and Performance Monitoring” has been accepted for presentation at CLINICCAI, the Clinical Day of the 28th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2025), taking 
place 23–27 September 2025 at the Daejeon Convention Center, Republic of Korea.


Synopsis of the Contribution


The paper details a five-pillar, enterprise-grade validation framework—data harmonization, automated validation pipelines, sub-cohort performance analysis, interactive visualization, and audit-ready compliance tooling—that closes the translational gap between algorithm development and sustained clinical deployment.


Executive Commentary


“Scaling trustworthy AI requires an infrastructure that industrializes validation, governance, and post-market surveillance,” said Dr. Sumir S. Patel, MD, MBA, Chief Medical Officer and presenting author. “Our framework empowers stakeholders to operationalize safe, equitable AI—at speed and at scale.”


Strategic Impact for Stakeholders


- Regulatory Readiness – End-to-end traceability aligned with FDA, HIPAA, GDPR.
- Clinical Confidence – Near-real-time drift detection and bias analytics de-risk frontline adoption.
- Operational Efficiency – Harmonized data pipelines compress multi-site rollout timelines and curb total cost of ownership.


About CLINICCAI


CLINICCAI is MICCAI’s clinician-centric track focused on translating imaging and interventional breakthroughs into bedside value. The 2025 Clinical Day is scheduled for 25  September  2025 within the main congress agenda.


Engage with Gesund.ai in Daejeon

  • Attend the oral session to unpack our methodology and results.

  • Visit the Gesund.ai booth for live demonstrations of our AI-assurance platform.

  • Schedule a partnership briefing to explore multi-site validation, federated learning, or post-market monitoring engagements.

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