Metadata-Version: 2.4
Name: mtrust-medical
Version: 1.0.1
Summary: M-TRUST: Bias detection and mitigation for medical AI
Home-page: https://github.com/NMNayan57/mtrush_medical.git
Author: Nasim Mahmud Nayan
Author-email: smnoyan670@gmail.com
Project-URL: Bug Reports, https://github.com/NMNayan57/mtrush_medical/issues
Project-URL: Source, https://github.com/NMNayan57/mtrush_medical
Keywords: medical ai bias fairness healthcare trustworthy
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Healthcare Industry
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.21.0
Requires-Dist: pandas>=1.3.0
Requires-Dist: torch>=1.9.0
Requires-Dist: scikit-learn>=0.24.0
Requires-Dist: Pillow>=8.0.0
Requires-Dist: tqdm>=4.62.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0; extra == "dev"
Requires-Dist: black>=22.0; extra == "dev"
Requires-Dist: flake8>=4.0; extra == "dev"
Provides-Extra: viz
Requires-Dist: matplotlib>=3.5; extra == "viz"
Requires-Dist: seaborn>=0.11; extra == "viz"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license-file
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# M-TRUST: Multimodal Trustworthy Healthcare AI

[![PyPI version](https://badge.fury.io/py/mtrust-medical.svg)](https://badge.fury.io/py/mtrust-medical)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)

## 🏥 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

```bash
pip install mtrust-medical

Full Example in docs/getting_started.md](docs/getting_started.md)
