A new form of AI is on the horizon that will transform healthcare and other industries in unimaginable ways. The purpose of this book chapter is to foreshadow the next generation of quantum technologies that are ideally suited to healthcare AI applications. Early adopters, innovators, and other thought leaders in healthcare can champion actions today (regarding technology, processes, and people) to guide their organizations to a quantum technologies ecosystem to optimize caregiving.
A new form of AI is on the horizon that will transform healthcare and other industries in unimaginable ways. The purpose of this book chapter is to foreshadow the next generation of quantum technologies that are ideally suited to healthcare AI applications. Early adopters, innovators, and other thought leaders in healthcare can champion actions today (regarding technology, processes, and people) to guide their organizations to a quantum technologies ecosystem to optimize caregiving.
A new form of artificial intelligence is on the horizon that will transform healthcare and other industries in unimaginable ways. The purpose of this book chapter is to foreshadow the next generation of quantum technologies that are ideally suited to healthcare artificial intelligence applications. Early adopters, innovators, and other thought leaders in healthcare can champion actions today (regarding technology, processes, and people) to guide their organizations to a quantum technologies ecosystem to optimize caregiving.
Chapter 7 discusses the transformative potential of quantum computing (QC) and its implications for artificial intelligence (AI) within organizations. It explores how the unmatched computational power of QC will revolutionize AI capabilities, allowing organizations to tackle complex problems, enhance decision-making and unlock new paths for innovation. This chapter concludes the book with a thought-provoking vision of the second half of the 21st century when the integration of humans and AI-powered machines becomes a defining characteristic of society. It envisions a world where machines, supercharged by QC, surpass human intelligence, leading the way for hybrid human-machine entities to emerge.
Transformative impact and change can be acquired by quantum computing in the field of medical sciences and clinical care. This chapter explores the revolutionary prospects of quantum physics, that is, superposition and entanglement, with its application in medical sciences and healthcare. Additionally, a comprehensive framework of the technology is presented in this chapter in the facets of quantum artificial intelligence applications, drug discovery, personalized treatment, biomarker discovery, and data management. The chapter examines the concepts from quantum computing to advanced healthcare from next-generation applications. Despite a transforming potential, challenges due to technical complexities, ethical and regulatory concerns, high cost, and limited accessibility from the unification of quantum computing with healthcare are also presented. A practical roadmap is discussed at the end of the chapter to integrate multidisciplinary technologies for creating smart quantum healthcare solutions. Actionable insights are offered in the section for healthcare and biomedical scientists, healthcare providers, pharmaceutical and biotechnological companies, public health management, and startup companies to dive into the possibilities that quantum computing can provide in healthcare.
Quantum Computing (QC) has become an interdisciplinary and fast-developing field, with a lot of interest shown by both the academic and industrial community because of its essentially new paradigm of information processing and outstanding capabilities of the quantum computer based on its innovation and a complete break with the paradigm of non-quantum computing. Although this is the future of this potential, there is very little that is known of its transformative effect in the health industry. The survey is the first attempt to give a systematic and broad overview of how quantum computing can improve healthcare, especially in compute-intensive applications like optimization of operations, medical imaging, DNA sequencing, personalized medicine, and drug discovery. The concepts covered in this chapter are comprised of foundational concepts, enabling technologies, areas of applications, system requirements, and architectural models, security, unresolved challenges and imminent research directions. This chapter takes into consideration the general outlook on the quantum computing's significance in medicine and also serves as an efficient guide for new researchers or well-established ones looking into the area. It tries to bring light into the existing research environment, point out the prospects and the challenges and achieve the guidance of the design of future quantum-driven healthcare architectures and applications.
This study examines the transformative role of Quantum Artificial Intelligence (Quantum AI) in advancing computational intelligence through quantum-enhanced machine learning frameworks. Using a quantitative, descriptive, and analytical research design, primary data were collected from 400 respondents across academic, research, and industry domains via a structured questionnaire. The analysis applied mean, percentile, and rank-based techniques to evaluate key constructs, including transformational impact, adoption challenges, industry applications, and future potential. Findings indicate that Quantum AI enhances optimization efficiency, predictive analytics, and decision-making, outperforming conventional models. However, challenges such as hardware scalability, high implementation costs, and skill shortages limit widespread adoption. The study also highlights its impact across healthcare, finance, cybersecurity, and data analytics. Overall, Quantum AI demonstrates strong strategic potential for next-generation intelligent systems and competitive advantage.
Quantum computing, an interdisciplinary area that processes data in fundamentally different ways, has recently grown and attracted a lot of attention from academics and businesses alike because of its potential to achieve computational powers that were previously unimaginable. Quantum computing's potential in the medical field has not been thoroughly explored as yet. Computing at the quantum level has the potential to revolutionize computationally intensive healthcare applications such as personalized medicine, drug discovery, medical imaging, DNA sequencing, and operational optimization. This review article provides the first all- encompassing examination of the many applications of quantum computing to healthcare systems, focusing on these specific domains. Many different areas are covered by our taxonomies, such as foundational and enabling technologies, applications, needs, architectures, security, open problems, and potential avenues for future study. The outcome of this thorough literature study is an all-encompassing perspective on the quantum computing paradigm as it pertains to healthcare. Synthetic intelligence (AI) and quantum computing are about to converge, and this article delves into how that can change the face of healthcare. In this study, we take a look at how quantum physics might help us understand how to improve AI for faster drug development, more precise clinical diagnostics, and more tailored treatment plans. The investigation probes the means by which molecular-level quantum simulations can represent complicated organic processes, enabling the unprecedented prediction of treatment interactions and the design of medicine. Also covered in the article is the idea of using quantum sensors in conjunction with AI to provide better clinical imaging that can pick up on more widespread problems. Highlighting its role in bringing in a new technology of personalized medicinal drug and efficient drug improvement, this synergy is discussed for its transformational power.