CapIAMI

CapIAMI

Capillaroscopy and Artificial Intelligence in Inflammatory Myopathies

Multicenter observational study analyzing capillaroscopic abnormalities in idiopathic inflammatory myopathies (IIM) using artificial intelligence. Primary objective: to describe and quantitatively analyze these abnormalities and establish correlations with clinical symptoms, specific antibodies, and prognosis.

It uses Capillary.io for standardized and precise analysis across centers, with potential impact on the diagnosis and follow-up of patients with IIM.

CapillaroscopyInflammatory myopathiesMulticenterAI
Members and Scientific endorsers
GEAS - SEMI
SEMI (Spanish Society of Internal Medicine)
SEMAIS (Spanish Multidisciplinary Society of Systemic Autoimmune Diseases)
Colombian Association of Rheumatology
Project Coordinators

Dr. Gema María Lledó Ibáñez

Dr. Gema María Lledó Ibáñez

Internal Medicine and Rheumatology

Hospital Regional Universitario Carlos Haya de Málaga


Dr. Jorge Álvarez Troncoso

Dr. Jorge Álvarez Troncoso

Internal Medicine

Hospital Universitario La Paz (Madrid)

Publications

CAPRIO
Nailfold capillaroscopy demonstration at MIT using Capillary.io

CAPRIO

CAPillary Real-time Indicators and Outcomes

CAPRIO is a clinical study by the Tal Research Group at MIT exploring whether non-invasive nailfold images, videos, and survey data can help define a new clinical vital sign.

The study compares capillaroscopes and builds datasets to develop machine-learning models for investigating blood flow, inflammation, and other potential disease biomarkers. Capillary.io is used in the study's capillaroscopy research workflow.

Visit the official MIT study page for current study information and participation details.

CapillaroscopyMicrocirculationMachine learningMIT