
AWS HealthImaging and Amazon SageMaker together enable healthcare providers to improve medical imaging workflows by automating diagnostic analysis, reducing radiologist burnout, and accelerating patient care through AI-assisted detection and interpretation of medical images.


<div><p>This article describes how AWS HealthImaging and Amazon SageMaker improve medical imaging workflows by automating diagnostic processes and reducing radiologist burnout.</p><ul><li>AWS HealthImaging stores and manages DICOM medical images with sub-second retrieval latency</li><li>Amazon SageMaker builds AI models for automated detection of fractures, dislocations, and soft tissue injuries</li><li>AWS IoT Greengrass receives imaging scanner data and routes to S3 and SQS for processing</li><li>AWS Step Functions orchestrates transform and import jobs into HealthImaging datastore</li><li>SageMaker Ground Truth enables radiologists to annotate images for model training</li><li>Both services are HIPAA-eligible with encryption at rest via AWS KMS</li><li>Architecture enables AI-assisted detection workflow improving diagnostic accuracy and efficiency</li></ul><p>The solution addresses radiologist shortages and burnout by automating labor-intensive imaging analysis tasks while maintaining security and compliance for protected health information.</p></div>


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