Our Service

Three Simple Steps


Maintaining privacy through decentralized computing (blockchain systems), we safe-guard patient-level image and tabular data.

magnifying glass

Sifting through patient data, machine learning algorithms determine the risk of both cardiovascular and respiratory diseases.


Providing the result in easy to read format, patients and doctors will have a more substantial understanding of their medical needs.


Our Mission

At Dignosys, our vision is to help improve medical diagnosis accuracy for cardiovascular and respiratory diseases. Currently, because the traditional process for diagnoses is done by humans, there is a large chance of human error, which can lead to misdiagnoses and fatalities. Dignosys is taking a different approach, where instead of relying on human diagnoses, we use an algorithmic method to provide the most accurate diagnosis. Using this model, Dignosys aims to improve the lives of patients with cardiovascular and repiratory diseases by providing an accurate diagnosis in an easy and accessible format.

What's Wrong With Our Current Systems?

Recently, the traditional methods of diagnosis have been proven to be outdated and innacurate. Statistics from the BMJ Quality and Safety journal, John Hopkins Medical School, and the WHO show that a large percentage of the patient population are affected by medical error.


Adult Patients Misdiagnosed (in millions)

Misdiagnoses Cause Fatal Conditions (in millions)


People Die From CVDs Each Year (in millions)


Expert Quotes

“It’s not always easy [to diagnose cardiovascular disease]. It takes a long time and a lot of dedicated training to recognize patterns and determine their risk of having the disease."
- Samvid Dwidevi, DO, Henry Ford Hospital, Dearborn, Michigan

“There is always going to be human error, and humans interpret what the machine is telling us.”
- Dr. Sylvia Delius, Kaiser Permanente, Oakland, California

Meet the Team!