How to use:

Upload the pedal angiogram (DSA) using the 'Choose File' button above to predict the probability of limb salvage or amputation in patients with peripheral artery disease. The image should be in PNG or JPEG format and follow the template provided below. Please note that the model reflects institutional expertise, so extrapolate the data carefully to your clinical cases. For more information, refer to the research article.

All calculations will be performed on the client side in the web browser, ensuring privacy by avoiding any data transfer to third-party servers.

Version: 3.0

Deployment Date: 2024-10-01

Author: Yury Rusinovich

Email: yury.rusinovich@gmail.com

Model Training Platform: MLHS Playground

AI/ML Library: TensorFlow.js

Reference: Research paper

Training Settings:

Outcome: Amputation, Salvage, bias

Class Counts (n): 600, 436, 425

Augmentation: horizontally flipping

Number of Epochs: 37

Initial Learning Rate: 0.001

Batch Size: 16

Performance:

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Comments:

2024-10-07 16:24:59: (admin:)

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2024-10-07 18:00:37: ✍️

Web AI: Limb Salvage Prediction with Pedal Angiograms