Sold by: ElectrifAi LLCÂ
Deployed on AWS
Detect the severity of COVID-19 in X-ray images to help determine admit vs no admit decisions, when other clinical factors are considered
Overview
This CNN model algorithm leverages a collection of healthy and abnormal X-ray images to detect the presence of COVID-19. The research tool provides a similarity score of your COVID-19 positive X-ray images.
SKU: COV19-PT-HCV-AWS-001
Disclaimer: The following model shall be used with the guidance or supervision of a trained or licensed healthcare practitioner. The model shall not be used solely or primarily relied upon to diagnose, treat, prevent, cure, triage, monitor, investigate, predict outcome and/or response to treatment for patients who have a specific lung disease. Further, the model has not been FDA cleared and/or approved and the recommendations provided by the product are adjunctive to any additional information gathered by a professional. Use of this model should be in line with local and state regulations. This model is not indicated for the diagnosis of COVID-19 since in vitro diagnostic testing is the only definitive method to diagnose this disease.
Highlights
- Using PulmoAi X-ray is simple: Upload an X-ray from a web browser, and PulmoAi X-ray outputs a score between 0 and 1 in under a minute—alerting you to the likelihood of recidivism when considered with other clinical factors.
- Our machine learning models are available through a Private Offer. Please contact info@electrifai.net for subscription service pricing.
Details
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Delivery method
Latest version
Deployed on AWS
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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.p2.16xlarge Inference (Real-Time) Recommended | Model inference on the ml.p2.16xlarge instance type, real-time mode | $0.00 |
ml.m5.2xlarge Inference (Batch) Recommended | Model inference on the ml.m5.2xlarge instance type, batch mode | $0.00 |
ml.p2.xlarge Inference (Real-Time) | Model inference on the ml.p2.xlarge instance type, real-time mode | $0.00 |
ml.p3.16xlarge Inference (Real-Time) | Model inference on the ml.p3.16xlarge instance type, real-time mode | $0.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $0.00 |
ml.m5.large Inference (Batch) | Model inference on the ml.m5.large instance type, batch mode | $0.00 |
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This product is offered for free. If there are any questions, please contact us for further clarifications.
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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.
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Version release notes
Initial Launch
Additional details
Inputs
- Summary
Supported content types: image/png, image/jpeg, application/dicom
- Input MIME type
- application/octet-stream
https://github.com/ElectrifAi/model-aws-pulmoai/raw/master/lung.png
https://github.com/ElectrifAi/model-aws-pulmoai/raw/master/lung.png
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Vendor resources
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