International Journal For Multidisciplinary Research

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Quantum‑Enabled AI Stethoscope for Predicting Heart Attacks Months in Advance

Author(s) Mr. Amit Kumar Singh
Country India
Abstract Early prediction of myocardial infarction (MI) remains a major unmet clinical challenge, as most existing diagnostic tools identify disease only after significant cardiac damage has occurred. Recent advances in macroscopic quantum mechanics—specifically quantum‑limited sensing, ultra‑low‑noise superconducting circuits, and energy quantisation in electrical systems—enable the detection of extremely weak physiological signals previously buried in noise. This paper proposes a quantum‑enabled, AI‑powered stethoscope that integrates quantum‑inspired acoustic and timing precision with multimodal artificial intelligence to predict cardiac events months before a heart attack. By capturing sub‑audible cardiac vibrations, micro‑turbulence in blood flow, and electromechanical coupling deviations, and analysing them longitudinally using deep learning models, the system provides a preventive, non‑invasive, and scalable approach to cardiac risk stratification. The proposed framework is clinically feasible, regulator‑friendly, and aligned with current quantum inventions, offering a realistic pathway toward predictive cardiology.
Keywords Quantum sensing, AI stethoscope, heart attack prediction, phonocardiography, electromechanical delay, preventive cardiology
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-24
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.64438
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E-ISSN 2582-2160
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