Show HN: I rewrote my ML web apps to run in-browser and deleted the server

Category: ai-ml

Tags: in-browser-ml, clinical-ai, medical-imaging, privacy-preserving, serverless

Score: 4.0/10 (Innovation: 5, Technical: 4, Documentation: 2, Utility: 3)

This project appears to be a collection of in-browser clinical AI diagnostic tools for medical imaging, covering eye, breast, neurological, skin, and brain conditions, with a focus on clinician oversight. It is interesting for its serverless, privacy-preserving deployment of medical AI, but lacks open-source artifacts, documentation, and technical details needed for real evaluation.

Target audience: medical researchers, clinical AI developers, healthcare data scientists

Repository: https://aegishumanai.com/

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