EYEX designs and accelerates the adoption of AI engines for medical imaging in adversarial environments, such as the public health care systems in Latin America

Vision

We are packing the knowledge of the best pneumologists and radiologists in the private hospitals inside an AI algorithm, in order to help non-specialized doctors in the most vulnerable medical environments (rural clinics and public hospitals) to make faster decisions and compensate the huge deficit of doctors in Latin America.

EYEX is leading the adoption of telemedicine & AI engines for medical imaging to positively impact health care systems and their beneficiaries in underdeveloped regions of Latin America.

EYEX Telemedicine platform

Our team of in-house radiologists and high-level experts in pneumology and epidemiology designed a medical protocol for radiologists to interpret the pathologies presented in chest x-rays (CRX).

We recieve CRX through our telemedicine platform and label it in a way that helps us to train our AI algorithm faster and with less data than any other model publicly available.

AI Algorithms

EYEX Telemedicine
platform   

AI Algorithms

The initial results of our experiments with the data available and using transfer learning techniques are promising.

Data were splitted in 80% training, 20% testing & validation sets, then we analyzed the correlation between ground truth and the predicted by the model with a strong correlation, with a R2 of 0.90 (Ranges between 0.72-0.90) and a mean absolute error of 8.4% (ranges 17-21%), even for a work in progress in conclusion CNN accurately predicted disease severity and the pathology associated for the CRX with COVID-19 lung infection.

About us

EYEX is one of the first companies working on the development of medical-grade AI algorithms for automated information analysis that allow health professionals, public and private health systems to have first-rate tools adapted to Latin America reality and make better informed decisions.

The platform is based on AI for the rapid detection and pre-diagnosis of respiratory diseases (including COVID-19) through automated analysis of x-rays.

At the moment, we are helping the sanitary emergency connecting x-ray machines to a picture archiving and communication system in public hospitals to enable doctors to give a pre-diagnosis through a telemedicine platform.

EYEX algorithm allows to classify and segment conditions and pathologies, helping radiologists and health care professionals to have more information about a patient, in less time and cost.

Pilar
Espinosa

Co-Founder & CEO

Karlo
Rodríguez

Co-Founder & CTO

Memo
Chávez

Co-Founder & CXO

Valeria
Torres

Head of Operations

Paco
Bahena

Head of Engineering

Paco
Román

Head of AI

Daniela
Arriaga

Senior Research Analyst

Dhruva
Bhavsar

Senior Research Analyst

Karen
Sánchez

Senior Research Analyst

James
Provost

Senior Research Analyst

Jeremy
Park

Senior Research Analyst

Jessica
Herrera

Senior Research Analyst

Oswaldo
Chávez

Senior Research Analyst

Xin
Gu

Senior Research Analyst

Our core values

“Ad Astra Per Aspera”

“Through effort, to the stars”

Give back

We have the conviction to give back to humanity, through an impactful business model that helps as many people as possible.

Think big

We want to make a massive transformation in health care system, letting vulnerable population access to the best medical knowledge available.

Contact us

hello@eyex.vision

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Us

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