A Review on the Impact of Quantum Computing on Machine Learning in Medical Forecasting

Quantum computing holds the promise of transforming the field of machine learning (ML) applications, particularly within the healthcare industry. This study examines the ramifications of quantum computing for medical forecasting, with a specific emphasis on how quantum algorithms can improve the predictive accuracy, efficiency, and scalability of medical ML models. We delve into the convergence of quantum computing and machine learning, discussing the theoretical foundations, recent developments, and obstacles associated with the implementation of quantum technologies in medical forecasting. The research highlights the potential of quantum-enhanced machine learning methods in various medical areas, including early disease detection, personalized treatment strategies, and predictive analytics.