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https://github.com/the-swarm-corporation/dermaswarm

DermaSwarm is a production-grade multi-agent system designed for dermatologists to collaboratively diagnose and treat skin conditions. Leveraging the power of AI-driven agents, DermaSwarm cross-checks peer-reviewed dermatology research to ensure diagnosis accuracy, generates treatment plans, and outputs results in easy-to-use JSON format.
https://github.com/the-swarm-corporation/dermaswarm

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DermaSwarm is a production-grade multi-agent system designed for dermatologists to collaboratively diagnose and treat skin conditions. Leveraging the power of AI-driven agents, DermaSwarm cross-checks peer-reviewed dermatology research to ensure diagnosis accuracy, generates treatment plans, and outputs results in easy-to-use JSON format.

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# DermaSwarm: A Production-Grade Multi-Agent Dermatology Swarm

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**DermaSwarm** is a production-grade multi-agent system designed for dermatologists to collaboratively diagnose and treat skin conditions. Leveraging the power of AI-driven agents, DermaSwarm cross-checks peer-reviewed dermatology research to ensure diagnosis accuracy, generates treatment plans, and outputs results in easy-to-use JSON format. With extensive logging, seamless collaboration between agents, and a focus on clinical reliability, DermaSwarm is built for real-world use by dermatology practitioners.

**Currently a work in progress**

## Installation

You can install **DermaSwarm** via pip:

```bash
pip install -U dermaswarm
```

## Features

- **Multi-Agent Collaboration**: Leverage multiple AI agents specialized in dermatology to analyze symptoms, suggest diagnoses, and validate findings against peer-reviewed literature.
- **Evidence-Based Diagnoses**: Each diagnosis is cross-referenced with peer-reviewed articles to ensure accuracy and up-to-date knowledge.
- **Personalized Treatment Plans**: Based on the diagnosis, DermaSwarm generates a personalized treatment plan for the patient.
- **JSON Output**: Structured outputs in JSON format, including diagnosis, references, and suggested treatments for easy integration into medical records.
- **Comprehensive Logging**: Track the entire diagnostic process with extensive logging to ensure transparency and traceability of agent actions.
- **API-Ready**: Easy to integrate with existing dermatology workflows and applications.

## Architecture

```mermaid
graph TD
A[Images and Text Describing Condition] --> B[Diagnosis Agent]
B --> C[Outputs Potential Diagnoses]

C --> R1[Round Robin Swarm of Specialists]

R1 --> M1[Medical Dermatology Agent]
R1 --> S1[Surgical Dermatology Agent]
R1 --> C1[Cosmetic Dermatology Agent]
R1 --> P1[Pediatric Dermatology Agent]
R1 --> D1[Dermatopathology Agent]
R1 --> I1[Immunodermatology Agent]
R1 --> M2[Mohs Surgery Agent]
R1 --> T1[Trichology Agent]
R1 --> TD1[Teledermatology Agent]

M1 -->|Validates and Provides Thoughts| R2
S1 -->|Validates and Provides Thoughts| R2
C1 -->|Validates and Provides Thoughts| R2
P1 -->|Validates and Provides Thoughts| R2
D1 -->|Validates and Provides Thoughts| R2
I1 -->|Validates and Provides Thoughts| R2
M2 -->|Validates and Provides Thoughts| R2
T1 -->|Validates and Provides Thoughts| R2
TD1 -->|Validates and Provides Thoughts| R2

R2[Consensus Agent: Most Likely Diagnosis] --> MI[Medical Insight Agent]
MI -->|Queries PubMed for Articles| D3[Final Diagnosis]

D3 --> H{Validated by Human?}
H -->|Yes| I[Human Validates Diagnosis]
H -->|No| J[Auto Confirmed by Swarm]

D3 --> K[Treatment Plan Agent]
K --> L[Proposes Series of Treatments]
L --> M[Ranks Treatments: Best Fit, Cheapest, Most Effective, Least Painful]
M --> N[Final Treatment Plan]

```

## Usage

Below is an example of how to use **DermaSwarm** in a typical dermatological workflow.

### Example

### Logging

**DermaSwarm** includes comprehensive logging powered by `loguru` to track agent decisions, references to peer-reviewed articles, and diagnostic conclusions. You can configure the logging settings to fit your clinic’s compliance and documentation needs.

```python
from dermaswarm import configure_logging

# Configure logging
configure_logging(level="INFO", log_file="diagnosis_logs.log")
```

## API Integration

DermaSwarm can be easily integrated into any clinical software via its REST API interface. Below is an example request using cURL:

```bash
curl -X POST https://api.dermaswarm.com/diagnose \
-H "Content-Type: application/json" \
-d '{
"symptoms": {
"rash": "red, scaly patches",
"location": "forearm",
"duration": "2 weeks",
"itchiness": "severe"
},
"medical_history": {
"allergies": ["pollen"],
"current_medications": ["ibuprofen"]
}
}'
```

### API Response

```json
{
"diagnosis": "Psoriasis",
"treatment_plan": {
"medications": [
{
"name": "Topical Corticosteroids",
"dosage": "Apply twice daily for 2 weeks"
}
],
"follow_up": "Reassess in 4 weeks for symptom improvement"
},
"peer_reviewed_articles": [
{
"title": "Psoriasis and Its Treatment",
"journal": "Journal of Dermatology",
"url": "https://example.com/psoriasis-article"
}
]
}
```

## Configuration

DermaSwarm offers flexible configuration options to tailor the system to your practice:

```python
from dermaswarm import set_config

set_config({
"peer_review_check": True,
"output_format": "json",
"log_level": "INFO"
})
```

## Roadmap

- **Enhanced Treatment Plans**: Addition of more diverse treatment recommendations, including alternative therapies.
- **Multi-Language Support**: Expanding the language capabilities to support non-English-speaking regions.
- **Cloud Integration**: Upcoming support for cloud-based deployments with added security and scalability.
- **Mobile App Integration**: Seamless mobile interface for real-time diagnostics on-the-go.

## Contributing

We welcome contributions from the community! Please see our [CONTRIBUTING.md](https://github.com/The-Swarm-Corporation/DermaSwarm/blob/main/CONTRIBUTING.md) for more details.

## License

DermaSwarm is open-source software, licensed under the [MIT License](https://github.com/The-Swarm-Corporation/DermaSwarm/blob/main/LICENSE).