Smart technologies have demonstrated striking outcomes regarding the early diagnosis of diseases and the delivery of the necessary healthcare in the last decade. However, by emphasizing the core fundamentals of social justice and sustainability, together with digitalization and smart technologies that predicate raising productivity and flexibility, Industry 5.0 has proven to achieve more efficient results. Industry 5.0 technologies provide more intelligent ways for human employees and higher efficiency development while also improving safety and performance in many applications. In this research, the contribution is focused on the healthcare and how Industry 5.0 technologies demonstrate several advantages for the healthcare sector, starting with automated and precise disease prediction, moving on to aiding medical personnel in continual surveillance and monitoring and concluding with successful digital automation of smart equipment. The objective of this study is to apply a hybrid multi-criteria decision-making approach under a neutrosophic environment to evaluate the advantages of industry 5.0 technologies in the healthcare sector. Industry 5.0 primary value is to reach human-centric, sustainable, and resilient industries. While Industry 5.0 technologies sub-values regarding the healthcare sector are determined and distinguished according to the 3-main values mentioned previously based on literature. The methodologies applied in this study are: The Analytical Hierarchy approach (AHP) evaluates the main values and sub-values. Subsequently, the effectiveness of industry 5.0 technologies according to their values to the healthcare sector are ranked by Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The approach is constructed under uncertainty based on a neutrosophic environment to achieve accuracy in the evaluation process. The results show that the most influential technology in healthcare are AI and cloud computing, while nano-technology, drone technology, and robots are at the end of the ranking. While validating the suggested technique, outcome comparisons were carried out to demonstrate the benefits of the methodologies. A sensitivity study indicates that adjusting the weightings of the sub-values has no significant effect on the ranking of technologies.

过去十年，智能技术在疾病的早期诊断和提供必要的医疗保健方面取得了惊人的成果。然而，通过强调社会正义和可持续发展的核心基础，再加上以提高生产力和灵活性为前提的数字化和智能技术，工业 5.0 已被证明可以取得更有效的成果。工业 5.0 技术为人类员工提供了更智能的方式和更高效率的开发，同时还提高了许多应用中的安全性和性能。在这项研究中，我们的贡献集中在医疗保健以及工业 5.0 技术如何展示医疗保健行业的多项优势，从自动化和精确的疾病预测开始，到帮助医务人员进行持续监测和监控，最后以成功的数字自动化来结束智能设备。本研究的目的是在中智环境下应用混合多标准决策方法来评估工业 5.0 技术在医疗保健领域的优势。工业 5.0 的主要价值是实现以人为本、可持续且有弹性的行业。而工业5.0技术关于医疗保健领域的子价值是根据前面提到的基于文献的3个主要价值来确定和区分的。本研究采用的方法有： 层次分析法 (AHP) 评估主要价值和次要价值。随后，工业 5.0 技术的有效性根据其对医疗保健行业的价值，按照理想解决方案相似度的技术优先顺序 (TOPSIS) 进行排名。该方法是在基于中智环境的不确定性下构建的，以实现评估过程的准确性。结果显示，医疗保健领域最有影响力的技术是人工智能和云计算，而纳米技术、无人机技术和机器人则排在最后。在验证建议的技术的同时，进行了结果比较以证明该方法的优点。敏感性研究表明，调整子值权重对技术排名没有显着影响。