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AI-Driven Prediction of Heart Attacks Using Quantum Computing Concepts: A Future Perspective

Year: 2025

Type: article

Abstract: This paper presents a hybrid framework combining Artificial Intelligence (AI) and Quantum Computing to predict heart attacks based on vital signs such as heart rate, oxygen levels, and ECG patterns. The model proposes a real-time, wearable-device-based solution, integrating Quantum Neural Networks with classical ML for accurate and timely cardiac risk detection.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15521211

Author: Kumar, Akshay

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6893308347

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