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articles/healthcare-apis/dicom/dicom-configure-azure-rbac.md

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@@ -16,19 +16,19 @@ In this article, you'll learn how to use [Azure role-based access control (Azure
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To grant users, service principals, or groups access to the DICOM data plane, select the **Access control (IAM)** blade. Select the **Role assignments** tab, and select **+ Add**.
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[ ![Screenshot of DICOM access control.](media/dicom-access-control.png) ](media/dicom-access-control.png#lightbox)
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[![Screenshot of DICOM access control.](media/dicom-access-control.png)](media/dicom-access-control.png#lightbox)
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In the **Role** selection, search for one of the built-in roles for the DICOM data plane:
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[ ![Screenshot of add RBAC role assignment.](media/rbac-add-role-assignment.png) ](media/rbac-add-role-assignment.png#lightbox)
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[![Screenshot of add RBAC role assignment.](media/rbac-add-role-assignment.png)](media/rbac-add-role-assignment.png#lightbox)
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You can choose between:
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* DICOM Data Owner: Full access to DICOM data.
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* DICOM Data Reader: Read and search DICOM data.
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If these roles aren't sufficient for your need, you can use PowerShell to create custom roles. For information about creating custom roles, see [Create a custom role using Azure PowerShell](../../role-based-access-control/tutorial-custom-role-powershell.md).
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If these roles aren't sufficient for your need, you can use PowerShell to create custom roles. For information about creating custom roles, see [Create a custom role using Azure PowerShell](../../role-based-access-control/tutorial-custom-role-powershell.md).
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In the **Select** box, search for a user, service principal, or group that you want to assign the role to.
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articles/healthcare-apis/dicom/dicom-data-lake.md

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@@ -21,7 +21,7 @@ By using Azure Data Lake Storage with the DICOM service, organizations are able
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- **Unlock new analytics and AI/ML scenarios** by using services that natively integrate with Azure Data Lake Storage, including Azure Synapse, Azure Databricks, Azure Machine Learning, and Microsoft Fabric.
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- **Grant controls to manage storage permissions, access controls, tiers, and rules**.
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Another benefit of Azure Data Lake Storage is that it connects to [Microsoft Fabric](/fabric/get-started/microsoft-fabric-overview). Microsoft Fabric is an end-to-end, unified analytics platform that brings together all the data and analytics tools that organizations need to unlock the potential of their data and lay the foundation for AI scenarios. By using Microsoft Fabric, you can use the rich ecosystem of Azure services to perform advanced analytics and AI/ML with medical imaging data, such as building and deploying machine learning models, creating cohorts for clinical trials, and generating insights for patient care and outcomes.
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Another benefit of Azure Data Lake Storage is that it connects to [Microsoft Fabric](/fabric/get-started/microsoft-fabric-overview). Microsoft Fabric is an end-to-end, unified analytics platform that brings together all the data and analytics tools that organizations needed to unlock the potential of their data, and lay the foundation for AI scenarios. By using Microsoft Fabric, you can use the rich ecosystem of Azure services to perform advanced analytics and AI/ML with medical imaging data, such as building and deploying machine learning models, creating cohorts for clinical trials, and generating insights for patient care and outcomes.
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To learn more about using Microsoft Fabric with imaging data, see [Get started using DICOM data in analytics workloads](get-started-with-analytics-dicom.md).
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