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

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.