Centralize medical AI dataset management with the Gesund.ai Data Module. Handle dataset ingestion, versioning, lineage, and compliance—all in one platform.

From Data to Deployment

In medical AI, a model is only as good as the datasets it’s built on. High-quality, well-organized medical imaging datasets are the foundation of safe, effective clinical AI. Yet in many organizations, dataset management is fragmented—spread across local drives, cloud buckets, and disconnected tools. This leads to inefficiencies, limited scalability, and compliance challenges.

That’s why we built the Gesund.ai Data Module—a centralized, intelligent hub for dataset ingestion, organization, versioning, lineage tracking, and compliance. It’s more than storage—it’s the backbone of the entire AI lifecycle.

Centralized Dataset Management

At the heart of the Dataset Module is the Data Hub—a searchable, role-based library for all public and private datasets. Teams can:

• Browse curated, tagged datasets by modality, anatomy, or source

• Access datasets with secure role-based permissions

• Sort by last viewed, updated date, or size

• Preview dataset metadata before download or integration

From open-source benchmarks like RSNA Pneumonia to proprietary hospital archives, every dataset is findable, structured, and ready for use.

The Data Hub: Beyond Storage

Our Data Hub offers four integrated views:

1. Explorer– Inspect studies, modalities, SOP classes, and series details

2. Data Import– Bring in data from local or cloud sources with automated tracking

3. Cloud Source– Connect to S3 buckets, manage permissions, and set defaults

4. Stats– View system-wide dataset metrics, storage usage, and migration history

This isn’t just a file list—it’s a live, queryable ecosystem for compliant and scalable medical AI data management.

Seamless Data Import & Integration

Import options include:

• Gesund.ai default S3 buckets for instant use

• External S3 storage connections

• Batch ingestion with detailed logs

• Metadata tagging during import

Every import is tracked with timestamps, user IDs, and project associations—ensuring full auditability.

Dataset Details: From Overview to Lineage

Within each dataset, you can access:

• Overview– Name, modality, anatomy, category, size, format, study count

• Image Explorer – Navigate through studies and images

• Annotation – Create or link annotation projects directly from the dataset

• Metadata– Capture and manage structured attributes for search and filtering

• Similar Datasets – Identify related datasets for broader training sets

• Journey – Track dataset evolution over time

• Access Management – Assign roles and permissions

• Lineage – See exactly how a dataset was derived, including linked segmentations, transformations, and version history

This granular tracking ensures scientific reproducibility and regulatory readiness.

From Data to Model Training—Without Leaving the Platform

With full integration across Gesund.ai’s medical AI platform, you can:

• Prototype models in the Playground

• Run dataset analysis to evaluate distribution, modality coverage, or label balance

• Start validation workflows directly from the dataset

• Link datasets to models and annotation projects instantly

How the Gesund.ai Data Module Stands Apart

While most platforms offer basic storage or cloud syncing, the Gesund.ai Data Module is purpose-built for medical AI, offering unique capabilities rarely found elsewhere:

• Integrated Dataset Lineage Tracking – Full provenance of every transformation, annotation link, and version, visualized for compliance and reproducibility.

• Direct Workflow Connectivity – Move seamlessly from dataset to annotation, validation, or model training without exports or duplicate uploads.

• Medical Modality-Aware Search – Filter by modality, anatomy, SOP class, and even window level for precise clinical data retrieval.

• Granular Access Governance – Role-based permissions down to the dataset and study level, enabling secure multi-institution collaboration.

• Hybrid Cloud & On-Prem Deployment – Flexible infrastructure to meet both scalability and strict hospital IT requirements.

• Built-In Dataset Analytics – Quickly check distribution, label balance, and modality coverage without leaving the platform.

Unlike platforms that treat datasets as an afterthought, the Gesund.ai Dataset Module ensures:

• A unified backbone for annotation, validation, and deployment

• End-to-end lineage tracking for compliance

• Seamless integration between datasets, models, and tools

• Scalable cloud and on-premise deployments

No more manual folder management. No more lost versions. No more uncertainty about data origins.

The Path to Safe, Effective Medical AI Starts with Trustworthy Datasets

✅The Gesund.ai Data Module transforms fragmented data into a connected, audit-ready resource—ready for annotation, training, and validation.

✅From pixel to publication, your data’s journey is tracked, secure, and built to scale.

✅Built for medical AI teams. Connected from day one. Ready for what’s next.

👉Want to see it in action? Book a demo and start managing your datasets today.