Aival Lab

Overview

Aival Lab is an independent QA platform for healthcare AI that specializes in intelligent data catalogs for radiology. The platform automatically curates and categorizes medical imaging data to make it discoverable and usable for AI development, research, and clinical applications. By integrating multimodal information (imaging, text, and other data) into a standardized discovery platform, Aival enables healthcare organizations to unlock the full potential of their existing data assets.

Key Features

Intelligent Data Catalogs

• Automatically structures and labels medical imaging data without requiring manual clinical input
• Integrates multimodal information including images, text reports, and clinical metadata
• Creates centralized platforms for labeled images and reports to streamline research operations

AutoAI and AutoLabel Algorithms

• Automatically categorizes image studies to accelerate scientific research and AI development
• Converts free-text clinical reports into structured, searchable data
• Extracts clinical findings and metadata to identify datasets of commercial or scientific value

Foundation AI Model Generation

• Automatically produces foundation AI models unique to your hospital's population data
• Creates image and text classifiers built from your specific data
• Enables fine-tuning of external base models on population-specific data

AI Development & Evaluation

• Training: Build classifiers for specific use cases and fine-tune models on your population data
• Evaluation: Validate models on real-world data with bias and fairness analysis
• Monitoring: Post-deployment surveillance, drift detection, and reduced auditing burden

Data Monetization

• Enables secure access to labeled datasets for external AI developers and researchers