Neolens — Intelligent Medical Imaging API

Overview

Neolens is a high-performance medical imaging analysis API leveraging advanced AI models to support clinical decision-making and healthcare workflows.

Target audience

• Radiologists & Clinical Experts: Access precise anomaly detection, pathology classification, and anatomical measurements powered by deep learning models trained on large-scale medical datasets.
• Healthcare IT & System Integrators: Integrate seamlessly with PACS, RIS, and EHR systems via secure RESTful APIs, compliant with HIPAA and GDPR regulations.
• Developers & Data Scientists: Utilize a fully documented OpenAPI specification supporting multipart image uploads, customizable inference parameters, and real-time results streaming.
• Researchers & AI Engineers: Explore model architecture details, uncertainty quantification methods, and algorithmic limitations documented transparently for reproducibility and ethical deployment.

Neolens Processing Pipeline

The image below summarizes how Neolens processes input medical images through each functional module.

This illustration is for demonstrative purposes and may not reflect real medical workflows.

Core functionalities

Neolens provides modular capabilities that can be used independently or in combination:

• 📍 Detection: Identify regions of interest or abnormalities in medical images
• 🧠 Classification: Categorize detected findings using clinically relevant labels
• 📏 Measurement: Compute anatomical distances, volumes, or angles with precision
• 📝 Report Generation: Automatically generate structured reports from results
• 🔒 Traceability: Store, audit, and retrieve prediction history for legal safety

Each module includes clear endpoints, parameter configuration options, and interpretation guidance.

Compliance and integration

Neolens is engineered for the regulated healthcare environment:

• Full compliance with GDPR and medical device regulations (MDR)
• Secure authentication and authorization with OAuth 2.0 and API key management
• Extensive audit logging and traceability to support clinical governance
• Modular design for easy integration with hospital IT ecosystems (HL7, FHIR compatible)

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Dive into the documentation to explore API endpoints, configuration parameters, data formats, and best practices for deploying Neolens in production environments.

⚖️ AI Act Compliance (Annex IV)

This documentation partially complies with Annex IV of the European Union’s AI Act, which outlines the mandatory technical documentation for high-risk AI systems.
It has been structured to demonstrate best practices in transparency, interpretability, and risk management, within the scope of a fictional portfolio project.

This is not a legally binding document, but an illustration of how technical writers and documentation engineers can contribute to trustworthy AI by aligning with regulatory expectations.