Uploaded March 2026 | Updated September 2026, 2 weeks ago
Heart attack diagnosis can take hours — time that patients don’t have. New quantum sensing technology could help doctors make faster, more informed decisions.
In this video, SandboxAQ postdocs Jonathan Alvarez (Hardware Engineering) and Amaury Leroy (Biomedical AI and ML) explain how the AQMed team is developing a new magnetocardiography (MCG) device.
Today, doctors often rely on electrocardiograms (EKGs) and repeated blood tests measuring troponin levels to determine whether a patient is having a heart attack. When results are inconclusive, patients may wait for hours while clinicians gather more data.
MCG offers a new approach. Magnetic signals pass through the body with far less distortion than electrical signals, allowing researchers to capture a cleaner picture of cardiac activity. Combined with advanced signal processing and AI models, this data could potentially help identify subtle patterns linked to heart disease.
In this conversation, Jonathan and Amaury discuss:
-The limitations of current heart attack diagnostics
-How magnetocardiography works
-Why earlier MCG systems were impractical for hospitals
-How AI and large quantitative models help interpret heart signals
-The path toward clinical adoption and improving patient outcomes
The AQMed team’s ultimate goal: enable doctors to assess patients in minutes instead of hours, helping them decide faster whether treatment is needed.
Disclaimer: The AQMed device is an investigational device and is not yet cleared or approved by the FDA.
Subscribe to the SandboxAQ channel to learn more about how AI and quantum technologies are transforming healthcare.
Chapters:
00:00 Introduction
00:32 Turning Physiological Signals into Clinical Insights
01:16 The Patient Journey with Chest Pain
01:32 How EKGs Work (and Their Limitations)
02:16 Why Doctors Use Troponin Blood Tests
02:59 The Long Wait for Heart Attack Diagnosis
03:16 Where Magnetocardiography (MCG) Fits In
04:00 Why MCG Was Historically Impractical
05:19 Key Differences Between EKG and MCG Signals
06:18 Using AI to Interpret Heart Magnetic Fields
07:02 From Raw Data to Potential Clinical Decisions
07:25 Explainable AI for Physicians
08:17 The Regulatory Path for Medical Devices
08:56 Working with Clinical Partners
09:27 The Future of MCG in Hospitals
10:18 The Postdoc Experience at SandboxAQ
11:16 Final Thoughts
#sandboxaq #aqmed #lqms
Heart attack diagnosis can take hours — time that patients don’t have. New quantum sensing technology could help doctors make faster, more informed decisions.
In this video, SandboxAQ postdocs Jonathan Alvarez (Hardware Engineering) and Amaury Leroy (Biomedical AI and ML) explain how the AQMed team is developing a new magnetocardiography (MCG) device.
Today, doctors often rely on electrocardiograms (EKGs) and repeated blood tests measuring troponin levels to determine whether a patient is having a heart attack. When results are inconclusive, patients may wait for hours while clinicians gather more data.
MCG offers a new approach. Magnetic signals pass through the body with far less distortion than electrical signals, allowing researchers to capture a cleaner picture of cardiac activity. Combined with advanced signal processing and AI models, this data could potentially help identify subtle patterns linked to heart disease.
In this conversation, Jonathan and Amaury discuss:
-The limitations of current heart attack diagnostics
-How magnetocardiography works
-Why earlier MCG systems were impractical for hospitals
-How AI and large quantitative models help interpret heart signals
-The path toward clinical adoption and improving patient outcomes
The AQMed team’s ultimate goal: enable doctors to assess patients in minutes instead of hours, helping them decide faster whether treatment is needed.
Disclaimer: The AQMed device is an investigational device and is not yet cleared or approved by the FDA.
Subscribe to the SandboxAQ channel to learn more about how AI and quantum technologies are transforming healthcare.
Chapters:
00:00 Introduction
00:32 Turning Physiological Signals into Clinical Insights
01:16 The Patient Journey with Chest Pain
01:32 How EKGs Work (and Their Limitations)
02:16 Why Doctors Use Troponin Blood Tests
02:59 The Long Wait for Heart Attack Diagnosis
03:16 Where Magnetocardiography (MCG) Fits In
04:00 Why MCG Was Historically Impractical
05:19 Key Differences Between EKG and MCG Signals
06:18 Using AI to Interpret Heart Magnetic Fields
07:02 From Raw Data to Potential Clinical Decisions
07:25 Explainable AI for Physicians
08:17 The Regulatory Path for Medical Devices
08:56 Working with Clinical Partners
09:27 The Future of MCG in Hospitals
10:18 The Postdoc Experience at SandboxAQ
11:16 Final Thoughts
#sandboxaq #aqmed #lqms
