Algorithms, Journal Year: 2025, Volume and Issue: 18(3), P. 156 - 156
Published: March 9, 2025
Medical decision-making is increasingly integrating quantum computing (QC) and machine learning (ML) to analyze complex datasets, improve diagnostics, enable personalized treatments. While QC holds the potential accelerate optimization, drug discovery, genomic analysis as hardware capabilities advance, current implementations remain limited compared classical in many practical applications. Meanwhile, ML has already demonstrated significant success medical imaging, predictive modeling, decision support. Their convergence, particularly through (QML), presents opportunities for future advancements processing high-dimensional healthcare data improving clinical outcomes. This review examines foundational concepts, key applications, challenges of these technologies healthcare, explores their synergy solving problems, outlines directions quantum-enhanced decision-making.
Language: Английский