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DocTithi/README.md

Sabrina Chowdhury Tithi

Building open-source tools for reliable, transparent and auditable medical AI.

Clinical AI Reliability

My current open-source project is Clinical AI Reliability (CAR), an experimental framework for creating structured reliability records around medical and health AI outputs.

CAR focuses on:

  • claim-level evidence tracking
  • evidence freshness
  • uncertainty reporting
  • counterfactual consistency testing
  • privacy-minimizing provenance
  • human-review triggers
  • reproducible AI evaluation
  • machine-readable Reliability Envelopes

CAR is research infrastructure. It does not diagnose patients, replace clinical judgment, or certify AI systems as medically safe.

Current release

CAR v0.1.0 is available as an early public research pre-release.

View Clinical AI Reliability

Areas of interest

Medical AI • Health AI • AI Reliability • AI Evaluation • Provenance • Counterfactual Testing • Reproducibility • Open Science

Open source

Feedback, research ideas, benchmark proposals and contributions are welcome through the project's GitHub Discussions.

Sabrina Chowdhury Tithi

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  1. clinical-ai-reliability clinical-ai-reliability Public

    Open-source reliability framework for medical and health AI systems.

    Python 1