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This study examined the transformative influence of Quantum Machine Learning (QML) in redefining medical applications. The paper provides a thorough analysis of the convergence of quantum computing and healthcare, thoroughly examining the potential benefits, challenges, and prospects. The paper extensively examines the difficulties faced when implementing QML in healthcare applications, specifically focusing on concerns related to noise, circuit design, and the conversion of conventional data into formats suitable for quantum systems. At the same time, it highlights the wide range of opportunities that QML provides, especially in tackling important medical concerns like cancer, neurological problems, and cardiovascular diseases, where prompt intervention is crucial. The study explicitly explores the potential of QML to fundamentally transform approaches to early disease diagnosis. This paper delves into …