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SYSTEMATIC REVIEW article
Front. Med.
Sec. Precision Medicine
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1573016
Applications of Quantum Computing in Clinical Care
Provisionally accepted- 1 Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States
- 2 Marnix E. Heersink Institute for Biomedical Innovation, Birmingham, AL, United States
- 3 Center for Computational Life Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Georgia, United States
- 4 Department of Otolaryngology, Washington University in St. Louis, St. Louis, MO, United States
This review examines quantum computing (QC) applications in clinical care, emphas izing advancements directly impacting patient outcomes. Systematic analysis of 35 studies (2015–2024) revealed QC's promise in improving diagnostic accuracy in medical imaging, optimizing treatments in oncology, and enhancing real-time clinical decision-making. Studies suggest QC-driven algorithms may enhance diagnostic accuracy and computational efficiency, potentially enabling earlier detection of diseases such as Alzheimer’s, cancer, and osteoarthritis, thus supporting more timely interventions and improved prognoses. Despite promising results, challenges like hardware scalability, error mitigation, and ethical considerations currently limit widespread adoption. Addressing these barriers through interdisciplinary collaboration and technological innovation will enable QC to significantly improve patient outcomes by providing precise, personalized, and efficient clinical care. This review underscores QC's transformative potential in medicine, advocating its integration into healthcare workflows to benefit patient care and advance precision medicine.
Keywords: Quantum computing, clinical care, review, Technologic applications in Medicine, Innovation in Medicine MeSH terms were used, including "quantum computing, " "clinical medicine, " "clinical care
Received: 25 Feb 2025; Accepted: 27 Mar 2025.
Copyright: © 2025 Fairburn, Jehi, Bicknell, Wilkes and Panuganti. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Stevan Fairburn, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, Alabama, United States
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.