We are proud to announce the deployment of our next peer-reviewed medical #WebAI model! This #ComputerVision tool predicts outcomes in peripheral artery disease using angiograms. #HealthcareAI #DeSci
Test the model live here:
https://mlhs.ink/amputate/
Test the model live here:
https://mlhs.ink/amputate/
mlhs.ink
Web AI: Limb Salvage Prediction
Predict limb salvage or amputation outcomes using angiographic computer vision to classify pedal angiograms.
๐๐ฒ๐ง๐ญ๐ก๐๐ญ๐ข๐๐ ๐ข๐ฌ ๐ฅ๐ข๐ฏ๐ โ ๐๐ฎ๐ ๐ฆ๐๐ง๐ญ + ๐๐ฅ๐๐๐ง ๐ฆ๐๐๐ข๐๐๐ฅ ๐ข๐ฆ๐๐ ๐๐ฌ ๐ข๐ง ๐จ๐ง๐ ๐ฌ๐ญ๐๐ฉ.
If you build medical computer vision, you know the pain: real-world images often come with overlays, text/IDs, UI frames, borders, and other artefacts that make datasets noisy and expensive to clean.
๐๐ฒ๐ง๐ญ๐ก๐๐ญ๐ข๐๐ ๐ก๐๐ฅ๐ฉ๐ฌ ๐ฒ๐จ๐ฎ:
- ๐ ๐๐๐๐ฃ๐ ๐๐๐๐๐๐ ๐๐๐๐ข๐๐ ๐๐ก๐๐๐ ๐๐๐ก๐๐๐๐๐ก๐ (๐๐๐๐๐ก๐๐ก๐๐๐๐ /๐๐๐๐ ๐ข๐๐๐๐๐๐ก๐ , ๐๐๐๐๐๐๐๐ ๐ก๐๐ฅ๐ก, ๐๐ผ/๐๐๐๐๐ก๐๐ ๐๐๐๐๐๐ , ๐๐๐๐๐ ๐๐๐๐๐๐๐ /๐๐๐๐๐๐๐๐ข๐๐)
- ๐บ๐๐๐๐๐๐ก๐ ๐๐๐๐๐๐ ๐ก๐๐ ๐๐๐๐ข๐๐ ๐๐ก๐๐๐-๐๐๐ฃ๐๐ ๐ฃ๐๐๐๐๐๐ก๐ ๐คโ๐๐๐ ๐๐๐๐ ๐๐๐ฃ๐๐๐ ๐กโ๐ ๐๐ฃ๐๐๐๐๐ ๐ฃ๐๐ ๐ข๐๐ ๐๐๐๐๐ก๐๐ก๐ฆ ๐๐๐ ๐๐๐๐๐๐๐๐ โ ๐๐๐ ๐๐ข๐๐๐๐๐ก๐๐ก๐๐๐, ๐๐๐๐ ๐ ๐๐๐๐๐๐๐๐๐, ๐๐๐ ๐ ๐ก๐๐๐ ๐ -๐ก๐๐ ๐ก๐๐๐ ๐๐๐๐๐๐๐๐๐ .
๐๐ฎ๐ฉ๐ฉ๐จ๐ซ๐ญ๐๐ ๐ฆ๐จ๐๐๐ฅ๐ข๐ญ๐ข๐๐ฌ:
๐ฉป ๐ ๐๐๐๐๐๐๐๐ฆ: ๐๐ , ๐ด๐๐๐๐/๐ท๐๐ด, ๐๐ ๐ผ, ๐๐๐ก๐๐๐ ๐๐ข๐๐, ๐ถ๐ (๐๐๐ก๐๐๐ ๐๐ก๐ฆ-๐๐๐๐ ๐๐๐ฃ๐๐๐)
๐ฌ ๐๐๐๐๐๐ ๐๐๐๐ฆ: โ๐๐ ๐ก๐๐๐๐๐ฆ / ๐๐ฆ๐ก๐๐๐๐๐ฆ / ๐ ๐๐๐๐๐
๐ท ๐๐๐๐๐๐ ๐๐๐๐ฆ: ๐๐๐๐๐๐ก๐๐๐๐๐ฆ / ๐๐๐๐๐ ๐๐๐๐ฆ / ๐๐๐๐ ๐ ๐๐๐๐๐๐
Built on Gemini 3.0 Image.
Each session creates individual image links + a ZIP + a session page with all outputs.
๐ Early access is open (free testing + discounted launch access).
Try it: https://mlhs.ink/synthetica/
#MedicalAI #ComputerVision #DatasetCuration #DataAugmentation #SyntheticData #Radiology #Pathology #MLinHealthScience
If you build medical computer vision, you know the pain: real-world images often come with overlays, text/IDs, UI frames, borders, and other artefacts that make datasets noisy and expensive to clean.
๐๐ฒ๐ง๐ญ๐ก๐๐ญ๐ข๐๐ ๐ก๐๐ฅ๐ฉ๐ฌ ๐ฒ๐จ๐ฎ:
- ๐ ๐๐๐๐ฃ๐ ๐๐๐๐๐๐ ๐๐๐๐ข๐๐ ๐๐ก๐๐๐ ๐๐๐ก๐๐๐๐๐ก๐ (๐๐๐๐๐ก๐๐ก๐๐๐๐ /๐๐๐๐ ๐ข๐๐๐๐๐๐ก๐ , ๐๐๐๐๐๐๐๐ ๐ก๐๐ฅ๐ก, ๐๐ผ/๐๐๐๐๐ก๐๐ ๐๐๐๐๐๐ , ๐๐๐๐๐ ๐๐๐๐๐๐๐ /๐๐๐๐๐๐๐๐ข๐๐)
- ๐บ๐๐๐๐๐๐ก๐ ๐๐๐๐๐๐ ๐ก๐๐ ๐๐๐๐ข๐๐ ๐๐ก๐๐๐-๐๐๐ฃ๐๐ ๐ฃ๐๐๐๐๐๐ก๐ ๐คโ๐๐๐ ๐๐๐๐ ๐๐๐ฃ๐๐๐ ๐กโ๐ ๐๐ฃ๐๐๐๐๐ ๐ฃ๐๐ ๐ข๐๐ ๐๐๐๐๐ก๐๐ก๐ฆ ๐๐๐ ๐๐๐๐๐๐๐๐ โ ๐๐๐ ๐๐ข๐๐๐๐๐ก๐๐ก๐๐๐, ๐๐๐๐ ๐ ๐๐๐๐๐๐๐๐๐, ๐๐๐ ๐ ๐ก๐๐๐ ๐ -๐ก๐๐ ๐ก๐๐๐ ๐๐๐๐๐๐๐๐๐ .
๐๐ฎ๐ฉ๐ฉ๐จ๐ซ๐ญ๐๐ ๐ฆ๐จ๐๐๐ฅ๐ข๐ญ๐ข๐๐ฌ:
๐ฉป ๐ ๐๐๐๐๐๐๐๐ฆ: ๐๐ , ๐ด๐๐๐๐/๐ท๐๐ด, ๐๐ ๐ผ, ๐๐๐ก๐๐๐ ๐๐ข๐๐, ๐ถ๐ (๐๐๐ก๐๐๐ ๐๐ก๐ฆ-๐๐๐๐ ๐๐๐ฃ๐๐๐)
๐ฌ ๐๐๐๐๐๐ ๐๐๐๐ฆ: โ๐๐ ๐ก๐๐๐๐๐ฆ / ๐๐ฆ๐ก๐๐๐๐๐ฆ / ๐ ๐๐๐๐๐
๐ท ๐๐๐๐๐๐ ๐๐๐๐ฆ: ๐๐๐๐๐๐ก๐๐๐๐๐ฆ / ๐๐๐๐๐ ๐๐๐๐ฆ / ๐๐๐๐ ๐ ๐๐๐๐๐๐
Built on Gemini 3.0 Image.
Each session creates individual image links + a ZIP + a session page with all outputs.
๐ Early access is open (free testing + discounted launch access).
Try it: https://mlhs.ink/synthetica/
#MedicalAI #ComputerVision #DatasetCuration #DataAugmentation #SyntheticData #Radiology #Pathology #MLinHealthScience
ML in Health Science
Synthetica | Synthetic Medical Image Augmentation & Cleanup
Cleanup & empower your dataset with synthetic medical images. Upload a JPG/PNG and generate 1โ4 realistic variants.