Sold by: John Snow LabsÂ
Overview
This advanced pipeline eliminates all visible text within DICOM images and removes or anonymizes most metadata fields, including patient identifiers, physician details, and hospital information.
It is engineered for healthcare data scientists while ensuring data privacy and regulatory compliance. It seamlessly masks PHI within DICOM images, securing sensitive metadata and embedded texts, maintaining the original DICOM structure while overlaying black boxes over PHI entities and de-identifying metadata.
Key Features include: Automated PHI Redaction -Integrates with hospital imaging systems to automatically obscure PHI; Secure Image Sharing - Enables safe distribution of de-identified images across healthcare facilities. Compliance and Audit Trails -Meets HIPAA standards with a traceable process for PHI removal and comprehensive audit logs. Essential for healthcare entities, this tool supports high privacy standards, enhancing medical research without compromising data quality.
IMPORTANT USAGE INFORMATION:
After subscribing to this product and creating a SageMaker endpoint, billing occurs on an HOURLY BASIS for as long as the endpoint is running.
-Charges apply even if the endpoint is idle and not actively processing requests.
-To stop charges, you MUST DELETE the endpoint in your SageMaker console.
-Simply stopping requests will NOT stop billing.
This ensures you are only billed for the time you actively use the service.
Highlights
- **Benefits:** * Precision Masking: Accurately identifies and obscures PHI within images to maintain patient confidentiality. * Enhanced Data Security: Implements robust measures to ensure data remains protected both in transit and at rest. * Efficient Processing: Utilizes GPU resources for quick processing of large image files, reducing wait times significantly.
- **Additional resources** * [DICOM de-identification part 1](https://www.johnsnowlabs.com/dicom-de-identification-at-scale-in-visual-nlp-1-3/) * [DICOM de-identification part 2](https://www.johnsnowlabs.com/dicom-de-identification-at-scale-in-visual-nlp-2-3/) * [DICOM de-identification part 3](https://www.johnsnowlabs.com/dicom-de-identification-at-scale-in-visual-nlp-3-3/)
Details
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Delivery method
Latest version
Deployed on AWS
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Features and programs
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m4.2xlarge Inference (Batch) Recommended | Model inference on the ml.m4.2xlarge instance type, batch mode | $47.52 |
ml.m4.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m4.xlarge instance type, real-time mode | $23.76 |
Vendor refund policy
No refunds are possible.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Remove all text and most of the tags in the metadata of the DICOM image analyzed.
Additional details
Inputs
- Summary
Supported Dicom input format.
- Input MIME type
- application/octet-stream
https://github.com/JohnSnowLabs/spark-nlp-workshop/tree/master/products/sagemaker/models/dicom_deid_full_anonymization/inputs/real-time
https://github.com/JohnSnowLabs/spark-nlp-workshop/tree/master/products/sagemaker/models/dicom_deid_full_anonymization/inputs/batch
Resources
Vendor resources
Support
Vendor support
For any assistance, please reach out to support@johnsnowlabs.com .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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