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Updated: May 12, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Applications of quantum computing in clinical care.

Stevan C Fairburn1,2, Lara Jehi3, Brenton T Bicknell2

  • 1Marnix E. Heersink Institute for Biomedical Innovation, University of Alabama at Birmingham, Birmingham, AL, United States.

Frontiers in Medicine
|May 8, 2025
PubMed
Summary
This summary is machine-generated.

Quantum computing (QC) offers significant potential to enhance clinical care by improving diagnostics and treatment plans. Overcoming current limitations is key to realizing QC

Keywords:
clinical careinnovation in medicinequantum computingreviewtechnologic applications in medicine

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Area of Science:

  • Quantum computing applications in clinical care and healthcare.
  • Advancements in medical diagnostics and treatment optimization.
  • The intersection of quantum technology and patient outcomes.

Background:

  • Quantum computing (QC) presents transformative potential in medicine.
  • Applications focus on enhancing diagnostic accuracy, treatment optimization, and real-time decision-making.
  • QC integration aims to improve patient outcomes and advance precision medicine.

Purpose of the Study:

  • To review quantum computing applications in clinical care.
  • To emphasize advancements impacting patient outcomes.
  • To analyze the potential of QC in diagnostics, therapeutics, and decision support.

Main Methods:

  • Systematic analysis of 35 studies.
  • Studies published between 2015 and 2024 were evaluated.
  • Evaluation focused on QC's contributions to clinical care improvements.

Main Results:

  • QC shows promise in enhancing diagnostic accuracy, particularly in medical imaging.
  • Optimization of treatments, especially in oncology, and improved real-time clinical decision-making were observed.
  • QC-driven algorithms demonstrated potential for earlier disease detection (e.g., Alzheimer's, cancer) and better prognoses.

Conclusions:

  • Current limitations include hardware scalability, error mitigation, and ethical considerations.
  • Interdisciplinary collaboration and innovation are crucial for overcoming challenges.
  • QC integration can deliver precise, personalized, and efficient healthcare, advancing precision medicine and patient outcomes.