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Artificial Intelligence in Medical Imaging
- AI in Medical Imaging, Part 1: Improving Diagnosis and Care. The promise of medical AI is a future where "the wisdom contained in the decisions made by nearly all clinicians and outcomes of billions of patients should inform the care of each patient." How do we get there?
DICOM
- What Is DICOM? DICOM is a file format and network protocol used to store and transport medical images. All modern medical imaging systems such as x-ray, ultrasound, CT, and MRI use it for their data. This article provides an introduction to DICOM for software developers working with medical imaging resources within the Sonador imaging platform.
Components
- Orthanc. Orthanc is an open source, light-weight DICOMm server.
- OHIF. OHIF is an extensible web imaging platform to create custom DICOM viewers quickly and efficiently.
- Airflow. Airflow is a platform to create, schedule, and monitor workflows. Airflow is used within the Sonador project for scheduling data pipelines, training machine learning models, and performing batch tasks on medical imaging data.

Sonador Development Quickstart. Sonador is an open source cloud platform for medical imaging visualization and research. This article shows you how to get started using the Sonador Development Environment.
Frontend Development
- Configuring Sonador to Allow for Remote OHIF Development. While Sonador includes a version of OHIF integrated into the platform, it is also possible to configure it allow a remote OHIF instance.

Cluster configuration: storage, networking, and other resources

Setup LUKS Encryption for Storage Volumes
Private DICOM Headers Within Orthanc. To allow DICOM to support a broad range of medical imaging software applications, the standard provides for "private tags." This article looks at private tag support within Orthanc and how additional tags can be added.
AirFlow Remote Logging Using Object Storage. When running in cloud or container orchestration environments, the default logging configuration for Airflow can result in data loss. This article describes how to configure remote logging to S3 compatible storage.