Quantum-Powered Cardiac Diagnostics: Advancing Beyond Conventional Imaging

Shaily Mishra; Harshil Pandya

doi:10.36948/ijfmr.2025.v07i04.54414

Quantum-Powered Cardiac Diagnostics: Advancing Beyond Conventional Imaging

Author(s)	Ms. Shaily Mishra, Mr. Harshil Pandya
Country	India
Abstract	Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, demanding innovations that transcend the limitations of conventional diagnostic modalities. Traditional imaging technologies—such as echocardiography, CT angiography, and MRI—though well-established, often struggle with trade-offs between speed, resolution, and predictive capabilities. Emerging advances in quantum science, particularly quantum computing1 and quantum sensing2, promise to redefine cardiac diagnostics by enabling unprecedented computational power, enhanced imaging fidelity, and predictive analytics. This paper explores the paradigm shift from traditional cardiac imaging to quantum-assisted diagnostics, emphasizing its transformative potential in precision cardiology. Quantum computing harnesses the principles of superposition3, entanglement4, and quantum tunneling5 to perform complex computations at speeds exponentially faster than classical systems. In cardiology, this capability translates into ultra-rapid analysis of massive multi-modal datasets—integrating genetic profiles, imaging scans, wearable sensor data, and electronic health records—to derive predictive risk scores and detect disease progression at its earliest molecular signatures. Quantum machine learning algorithms can identify subtle, non-linear patterns6 in cardiac pathophysiology that conventional statistical models fail to capture, thus enabling clinicians to anticipate adverse events such as arrhythmias, myocardial infarction, or heart failure with higher accuracy and lead time. Quantum sensing further enhances diagnostic precision through highly sensitive magnetometers and photon detectors, capable of mapping cardiac electrophysiology and microvascular changes at nanoscale resolution without invasive procedures. These innovations address current bottlenecks in traditional imaging—such as motion artifacts, limited temporal resolution, and radiation exposure—offering safer, faster, and more detailed diagnostic pathways. By coupling quantum sensors with real-time data processing, clinicians can monitor dynamic cardiac functions continuously, bridging the gap between snapshot diagnostics and continuous cardiovascular health tracking. This research paper presents a comparative analysis of traditional versus quantum-enabled cardiac diagnostics, highlighting the future potential of quantum technologies in cardiac detection and medical assistance. The study emphasizes advancements in imaging clarity, predictive accuracy, and clinical outcome improvement enabled by quantum approaches. A progressive implementation model is proposed, outlining how quantum-assisted systems can be integrated into existing hospital infrastructure through cloud-based quantum computing platforms, thereby reducing costs and minimizing operational disruptions. The paper explores regulatory, ethical, and training considerations essential for the medical community in adopting these emerging technologies. The paper shows that using quantum technology in heart disease diagnosis can make the process much faster and more accurate. This means doctors can plan treatments better and help reduce serious illness by detecting problems early. Quantum methods can also predict heart issues even before symptoms appear, making it possible to screen large groups of people at low cost and without painful tests. In the future, combining quantum-powered artificial intelligence (AI) with telemedicine could bring advanced heart care to people everywhere, especially in areas where hospitals and doctors are limited. In conclusion, combining quantum computing with heart care could bring a big change in how we treat heart diseases. Instead of waiting for problems to appear, doctors could use quantum tools to predict risks early and give more accurate treatments. This can help reduce heart disease worldwide. Even though there are challenges in making these technologies widely available, their potential is huge. This research shows why it is important to adopt such tools early, encourage new ideas, and work together so that patients can benefit from these advances in the near future.
Keywords	Quantum computing, Advanced cardiac diagnostics, Molecular modelling, Quantum sensing, Emerging medical technologies, Traditional Imaging and Predictive Precision
Field	Biology > Medical / Physiology
Published In	Volume 7, Issue 4, July-August 2025
Published On	2025-08-24
DOI	https://doi.org/10.36948/ijfmr.2025.v07i04.54414

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Quantum-Powered Cardiac Diagnostics: Advancing Beyond Conventional Imaging

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