OUR TEAM

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Albert Roig
Founder | Innovator

Physician

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Pedro Novales
Co-Founder

Software Engineer

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Davel Rodriguez
Software Engineer

Senior Developer

Mission


The EKGDX team's mission:

1- Create an online multi-language educational platform focused on electrocardiogram, to address the global issue of inadequate EKG interpretation. The platform must be accessible from anywhere in the world.

2- Develop a diagnostic tool for electrocardiogram using artificial intelligence to save more lives and and prevent the thousands of deaths that occur each year due to incorrect diagnosis.

 

History


During the planning of our Artificial Intelligence project, we identified a big problem, and consists of not having a considerable amount (hundreds of thousands of images) of EKGs. To solve this issue, we decided to create a software that allows us to generate any kind of EKG, while giving us the ability to modify each wave, interval, and segment in terms of amplitude and duration. This is how we create the best EKG simulator that has ever existed. When we realized the educational potential of the platform, Dr. Albert Roig (Founder) decided to write the educational content and thus the educational part was born.

 

Chronology


February 2017 - The planning of the Artificial Intelligence (AI) project was started.

May 2017 - The AI project was put on hold due to a lack of electrocardiograms (hundreds of thousands needed).

June 2017 - Albert Roig (founder) presented to Pedro Novales (co-founder) the idea of â€‹â€‹creating an “EKG Simulator” as a solution to create the images database of EKGs.

September 2017 - Started the "EKG Simulator" development.

December 2017 -  The project was named as EKGDX.

October 2018 - The development of the EKG Simulator starts from scratch, because the results were not as expected.  

January 2019 - The teaching potential of the EKGDX platform became more obvious and the educational contents were expanded to include guidelines, cardiac trials, references, heart sounds, question banks, 3D animations, graphic explanations, coronary angiograms, and echocardiograms to name a few.

March 2020 - The educational part of EKGDX (web-based) was launched in honor of Sir Thomas Lewis, who wrote the first EKG book in 1913 and died in March 1945.

July 2020 - Started the development of the EKGDX App for iOS and Android.

January 2021 - We announced a collaborative partnership with the American Board of Internal Medicine (ABIM).

February 2021- We began working on Volume II (Set A) consisting of 100 actual EKG cases that simulate the ABIM Certification Exam in Cardiovascular Diseases, EKG Section.

May 2022: Volume II (Set A) was completed but the release was postponed until the EKGDX App is ready.

August 2022: The EKGDX App is ready. The process of submit the App to the App Store and Google Play has started.

September 2022: The EKGDX App was finally approved, and the official launch was scheduled for September 29, in commemoration of World Heart Day

December 2022: We hit 12,500 users accros the world. 

April 2023: We hit 20,000 users accros the world. 

June 2023: EKGDX was presented at the Inter-American Congress of Cardiology (SIAC), Panama 2023.

September 2023: We hit 30,000 users accros the world. 

January 2024: Our EKG Blog is ranked Top 10 in Google search

May 2024: We hit 50,000 users accros the world. 

June 2024: The EKGDX App has been updated.

July 2024: The Artificial Intelligence (AI) project has been re-started.

August 2024: We hit 60,000 users accros the world. 

September 2024: The cardiology residency at the Sanatorio Santa Clara Talar begins to use EKGDX. This important news was announced by Red Basa, one of the largest healthcare networks in Argentina. 

September 2024: The Sanatorio Americano, together with the Cardiology Academic Unit of the Faculty of Medicine of the University of the Republic (Uruguay), begins to use EKGDX.

November 2024: We have developed a groundbreaking innovation in ‘accurate electrocardiographic data generation,’ setting a new benchmark for advancing intelligent algorithm training. 

December 2024: The accuracy of measurements across various wave components is astonishing. This represents a significant milestone in the accurate assessment of fragmented complexes and notched waves.  

EKGDX is exclusively developed by Roinova Corporation.