What if we could see the body’s inner workings without touching it?

Discover how combining AI and Quantum (AQ) sensing could revolutionize healthcare, starting with the heart.

400M Global Cases of Ischemia, Heart Failure & Arrhythmia

Cardiovascular Disease in the US

$217B economic burden of heart disease each year

40% of Cardiovascular Deaths are related to coronary heart disease

Hospital Admission

Evaluation of suspected heart attack is the top reason for short-stay hospital admissions, which bears an annual cost of $3B

Current methods available to detect heart attacks are suboptimal

Measures the electrical activity of the heart

Sensitivity: 40%, Specificity: 91%

Shin, Clin Hemorheol Microcirc 2019;73(2):283-291

A blood test that helps diagnose heart injury

Sensitivity: 94%, Specificity: 44%

Adamson, Circ Cardiovasc Qual Outcomes. 2018 Feb; 11(2): e004227

What do the experts say?

The current methods for heart attack diagnosis can miss many cardiac conditions. Blood tests are costly, take time to process, and give false negatives and positive.

DR. JEFFREY BANDER

Chief of Cardiology, Mount Sinai West, NYC

As a doctor, having the most accurate and timely information about a patient’s cardiac state is critical for making life-saving treatment decisions.

Dr. Toby Cosgrove

Cardiac Surgeon, Former CEO Cleveland Clinic

What is Magnetocardiography (Mcg)?

Measurement of the magnetic field produced by the electrical activity of the heart

First, let’s conceptualize a simple wire conducting current

This electric current produces a complementary magnetic field that wraps around the wire.

If you have a magnetic field camera and position it above the wire, you would see a 2-D magnetic field map

Changes in the current would induce a change in the magnetic field map

Our Mission

To radically improve confidence and speed in each patient’s heart health decision by using AI & Quantum

Use Artificial intelligence & machine learning to perform digital signal processing, image analysis & classification

Leverage state-of-the-art Quantum & other high-performing sensors to capture signals

Our Approach: An Unshielded MCG Platform

Key Technologies

MCG Hardware

MCG Data

Quantum Sensors enhance diagnostic accuracy by minimizing signal distortion.

AI-Powered Algorithms to produce high resolution, information-rich MCG data for clinicians.

Detects the magnetic fields generated by heart activity.

Operates without the need for shielding, making it versatile for various environments.

Supports clinicians in making rapid and accurate diagnosis in clinical settings.

Provides feedback on heart activity and potential anomalies.

CARDIAQ, the Future of Cardiac Care, Today

Discover how CardiAQ uses artificial intelligence and high-performing quantum sensors to help clinicians make faster and more accurate decisions.

For the full experience, please view this demo from a desktop.

MCG Scan In 4 Simple Steps

Before the Scan

Positioning

Scanning

Reporting

Remove all metalic and electronic items.

Lie down and position the sensor panel over the chest.

SANDBOX_illustrations_FINAL_STEP 3 option b 1

Remain still during the 5-minute MCG scan.

The physician receives the report within minutes.

MCG Data Example

Normal Individual

Top: Magnetic field data as a time series, each line from a quantum sensor
Bottom: Cardiomagnetic dipole at 300 ms; red and blue lobes diagonal, showing cardiac current direction

Try Out Interactive Slider On The Right Side