M-TRUST: Bias detection and mitigation for medical AI
Project description
M-TRUST: Multimodal Trustworthy Healthcare AI
🏥 Make ANY Medical AI Model Fair and Trustworthy
M-TRUST is a bias detection and mitigation framework that wraps any medical AI model to ensure fairness across patient demographics.
✨ Features
- 🎯 4 Types of Bias Detection: Demographic, Quality, Annotation, Amplification
- 🛡️ Real-time Bias Mitigation: Automatic fairness adjustments
- 📊 Fairness Metrics: Track and report bias metrics
- 🔧 Easy Integration: One line to wrap any model
- 🏥 Medical-Specific: Designed for healthcare AI
📦 Installation
pip install mtrust-medical
Full Example in docs/getting_started.md](docs/getting_started.md)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mtrust_medical-1.0.1.tar.gz
(11.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mtrust_medical-1.0.1.tar.gz.
File metadata
- Download URL: mtrust_medical-1.0.1.tar.gz
- Upload date:
- Size: 11.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
de470f0161831c2c36812a34e7a9aea41ec2536b0361692f04485e7ba40c6979
|
|
| MD5 |
424ed6f02d833d471a314c2de106ecd7
|
|
| BLAKE2b-256 |
6ae7f2a0c7379ca1968665dcf3d14bee8d44f7389f23e629e7fba8868e7b3687
|
File details
Details for the file mtrust_medical-1.0.1-py3-none-any.whl.
File metadata
- Download URL: mtrust_medical-1.0.1-py3-none-any.whl
- Upload date:
- Size: 13.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a6d0884890cbb00c9400128931db735da4af80a71c5063b4aa4cfbf6c73e2692
|
|
| MD5 |
1d82d85b51c4dec8c2bb6919c0396021
|
|
| BLAKE2b-256 |
90e89a9af57ef036764c33ccfe1c9379e8983449c1605d25e0380d6bac9fcb1b
|
