{"title":"Innovative frontiers: Post-quantum perspectives in healthcare and medical imaging","authors":"D. J. Herzog, Nitsa J Herzog","doi":"10.24294/irr.v6i1.3852","DOIUrl":null,"url":null,"abstract":"The growth of computer power is crucial for the development of contemporary information technologies. Artificial intelligence is a powerful instrument for every aspect of contemporary science, the economy, and society as a whole. Further growth in computing potential opens new prospects for biomedicine and healthcare. The promising works on quantum computing make it possible to increase computing power exponentially. While conventional computing relies on the formula with 2n bits, the simplified vision of quantum computer power is 2N, where N is a number of logical qubits. With thousandfold or more improvements in computing performance, there will be realistic options for quick protein, genes and other organic molecules 3D fold discoveries, empowering pharmaceutics and biomedical research. Personalized blockchain-based healthcare will become a reality. Medical imaging and instant healthcare data analysis will significantly speed up diagnostics and treatment control. Biomedical digital twin usage will give useful tools to any healthcare practitioner, with options for intraoperative AR and VR micro-manipulations. Nanoscale intrabody bots will be instantly customized and AI-controlled. The smart environment will be enriched with multiple sensors and actuators, giving real control of the air, water, food, and physical health factors. All these possibilities are quickly achievable only in the case of realistic quantum computing options. Even with the ability to reach this stage, there will be questions for the stability of post-quantum society: privacy, ethical issues, and quantum computing control uncertainty. General solutions to these queries will give clues for post-quantum healthcare.","PeriodicalId":153727,"journal":{"name":"Imaging and Radiation Research","volume":"112 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Imaging and Radiation Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24294/irr.v6i1.3852","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The growth of computer power is crucial for the development of contemporary information technologies. Artificial intelligence is a powerful instrument for every aspect of contemporary science, the economy, and society as a whole. Further growth in computing potential opens new prospects for biomedicine and healthcare. The promising works on quantum computing make it possible to increase computing power exponentially. While conventional computing relies on the formula with 2n bits, the simplified vision of quantum computer power is 2N, where N is a number of logical qubits. With thousandfold or more improvements in computing performance, there will be realistic options for quick protein, genes and other organic molecules 3D fold discoveries, empowering pharmaceutics and biomedical research. Personalized blockchain-based healthcare will become a reality. Medical imaging and instant healthcare data analysis will significantly speed up diagnostics and treatment control. Biomedical digital twin usage will give useful tools to any healthcare practitioner, with options for intraoperative AR and VR micro-manipulations. Nanoscale intrabody bots will be instantly customized and AI-controlled. The smart environment will be enriched with multiple sensors and actuators, giving real control of the air, water, food, and physical health factors. All these possibilities are quickly achievable only in the case of realistic quantum computing options. Even with the ability to reach this stage, there will be questions for the stability of post-quantum society: privacy, ethical issues, and quantum computing control uncertainty. General solutions to these queries will give clues for post-quantum healthcare.
计算机能力的增长对当代信息技术的发展至关重要。人工智能是当代科学、经济和整个社会各个方面的有力工具。计算潜力的进一步增长为生物医学和医疗保健开辟了新的前景。量子计算的前景广阔,使计算能力成倍增长成为可能。传统计算依赖于 2n 位的公式,而量子计算机能力的简化愿景是 2N,其中 N 是逻辑量子位的数量。随着计算性能提高千倍或更多,快速发现蛋白质、基因和其他有机分子三维折叠将成为现实选择,为制药和生物医学研究赋能。基于区块链的个性化医疗保健将成为现实。医学成像和即时医疗数据分析将大大加快诊断和治疗控制。生物医学数字孪生的使用将为任何医疗从业者提供有用的工具,可用于术中 AR 和 VR 微操作。纳米级体内机器人可即时定制并由人工智能控制。智能环境将丰富多种传感器和执行器,从而真正控制空气、水、食物和身体健康因素。所有这些可能性只有在现实的量子计算方案中才能迅速实现。即使有能力达到这一阶段,后量子社会的稳定性也会面临问题:隐私、伦理问题和量子计算控制的不确定性。这些问题的一般解决方案将为后量子医疗提供线索。