Explore the global Federated Network

This dataset was generated to create diagnostic algorithms for malignant nodules found in CT scans of the lungs. AI developers can use this multimodal dataset to train or evaluate novel algorithms for radiological oncology.

Developing and validating algorithms for aneurysm detection in brain CTA (Computed Tomography Angiography).

This dataset provides diagnostic, demographic, and Optical Coherence Tomography (OCT) imaging data for patients with diabetic retinopathy (DR) from several ophthalmology clinics.

T2 axial MRI (Magnetic Resonance Imaging) of the prostates. Used to validate automatic image quality models.

This dataset provides insights into patient outcomes associated with surgeries performed by the General Surgery department at a large hospital.

This dataset provides insights into patient outcomes associated with surgeries performed by the Gastroenterology department at a large hospital.

This dataset provides insights into patient outcomes associated with surgeries performed by the Urology department at a large hospital.

This dataset provides insights into patient outcomes associated with surgeries performed by the Orthopedic Surgery department at a large hospital.

This dataset provides insights into patient outcomes associated with surgeries performed by the General Surgery department at a large hospital.

This dataset provides insights into patient outcomes associated with surgeries performed by a large hospital’s  Ear, Nose, and Throat (ENT) department.

To enable gynecological cancer prediction based on ultrasound images and associated structured clinical data.

The clinical data warehouse of a large hospital harmonized into the Observational Medical Outcomes Partnership (OMOP) common data model, which is the most common standard for representing data for observational health research. This ensures interoperability with research datasets from hospitals and health systems across the globe.

Being the leading cause of legal blindness in the industrialized world, Age-related Macular Degeneration (AMD) presents a pressing unmet medical need across the globe. With high-resolution retinal imaging and other medical advances rapidly gaining ground, the heterogeneity of the disease has become ever clearer over time. As a result, recent hypotheses suggest that AMD is a disease spectrum composed of several distinct phenotypes, which presents additional opportunities for tailoring therapeutics and other interventions.

To enable various observational analyses and predictive modeling of data associated with patients with cardiovascular disease.