AQMed
AI-powered magnetocardiography imaging for rapid, non-invasive cardiovascular disease diagnosis.
Overview
AQMed is a medical diagnostics division of SandboxAQ dedicated to advancing diagnostic accuracy and speed through artificial intelligence and cutting-edge sensing technology. Its mission is to revolutionize medical imaging by developing next-generation devices that are portable, easy to use, and capable of delivering superior care across diverse healthcare settings worldwide — from large hospital systems to remote medical facilities.
AQMed's first product, CardiAQ™, is a groundbreaking magnetocardiography (MCG) device designed to enable faster and more accurate diagnosis of cardiovascular disease — the leading cause of death globally, responsible for approximately 1.79 million deaths per year and an annual economic burden of $230 billion USD in the United States alone. CardiAQ is a mobile, non-invasive device that provides rapid, radiation-free imaging of the heart's magnetic signals, leveraging Large Quantitative Models (LQMs) and high-performance sensors to give physicians a powerful tool for early diagnosis and improved patient outcomes.
The Problem with Existing Cardiac Diagnostics
- The electrocardiogram (EKG), a 150-year-old standard tool, measures cardiac electrical impulses that can be distorted by bodily tissues, limiting diagnostic accuracy.
- More sensitive alternatives such as MRI, CT scans, and invasive procedures are expensive and can cause patient stress.
- Evaluating suspected heart attacks costs the U.S. healthcare system approximately $3 billion USD annually.
- There is a significant unmet clinical need for a solution that bridges the gap between low-cost but less sensitive EKGs and expensive or invasive imaging methods.
CardiAQ™ Key Capabilities
- Uses high-performance sensors to detect minute variations in the heart's magnetic signals, capturing fine details of the heart's electromagnetic activity.
- Employs advanced Large Quantitative Models (LQMs) to eliminate electromagnetic interference in dynamic hospital environments and classify complex magnetic field maps into actionable diagnoses.
- Helps detect abnormal patterns and potential cardiac disease states more effectively than traditional EKG.
- Compact design that operates at room temperature with low power requirements — requires no specialized cooling or electromagnetic shielding.
- Can be installed beside a hospital bed or used on a mobile cart for point-of-care diagnostics.
- Aims to deliver diagnostic results within minutes.
- Non-invasive and radiation-free, reducing patient stress and eliminating the need for confined imaging spaces or unnecessary invasive procedures.
Clinical Validation and Research Partnerships
- Clinical studies using CardiAQ have been conducted or are ongoing at two prominent research hospitals: the University of California at San Francisco (UCSF) and Mount Sinai West Medical Center in New York City.
- SandboxAQ is collaborating with Mayo Clinic to examine the relationship between MCG findings and angiography results.
- The device has received endorsement from leading cardiac specialists, including Dr. Jeffrey Bander, MD, Chief of Cardiology at Mount Sinai West, and Dr. Toby Cosgrove, MD, cardiac surgeon and former president/CEO of Cleveland Clinic.
- AQMed continues to explore additional MCG use cases for detecting a broad range of cardiovascular diseases beyond the initial application.
Mission and Impact
- Aims to save lives by enabling earlier and more accurate cardiovascular diagnosis.
- Seeks to reduce the economic burden of cardiac care on healthcare systems.
- Designed to deliver cutting-edge diagnostic capabilities across all care settings, from major hospital networks to the smallest and most remote medical facilities.
- Supports cooperative research partnership opportunities for institutions interested in advancing MCG-based diagnostics.
CardiAQ is currently an investigational device, limited by U.S. federal law to investigational use. AQMed is a product of SandboxAQ, which has secured more than $300 million in funding to support the development and commercialization of AI and advanced sensing technologies in healthcare and beyond.