探索量子神经网络在智慧医疗中的应用前景与挑战
A Study on Quantum Neural Networks in Healthcare 5.0
- 综述量子神经网络在医疗5.0中的集成路径
- 指出当前研究存在性能评估与系统整合空白
- 适合关注量子计算与医疗融合的研究者参考
医疗分析的工作环境正因医疗5.0的兴起和量子神经网络的发展而转变。本文结合大量案例研究，并回顾量子计算应用与智能医疗分析领域的相关文献，重点探讨量子深度神经网络的影响。研究旨在揭示当前关于量子神经网络在医疗分析中作用的研究缺口。我们提出，医疗行业正从自动化向与量子网络真正协作转型，这为研究提供了新方向。本研究聚焦于评估医疗5.0的性能，涉及多种量子机器学习与量子神经网络系统的整合。同时探讨了医疗5.0面临的潜在挑战与未来发展方向，尤其关注量子神经网络的集成问题。
原文摘要 · Abstract (English)
The working environment in healthcare analytics is transforming with the emergence of healthcare 5.0 and the advancements in quantum neural networks. In addition to analyzing a comprehensive set of case studies, we also review relevant literature from the fields of quantum computing applications and smart healthcare analytics, focusing on the implications of quantum deep neural networks. This study aims to shed light on the existing research gaps regarding the implications of quantum neural networks in healthcare analytics. We argue that the healthcare industry is currently transitioning from automation towards genuine collaboration with quantum networks, which presents new avenues for research and exploration. Specifically, this study focuses on evaluating the performance of Healthcare 5.0, which involves the integration of diverse quantum machine learning and quantum neural network systems. This study also explores a range of potential challenges and future directions for Healthcare 5.0, particularly focusing on the integration of quantum neural networks.
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