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Computational imaging, sensing and diagnostics for global health applications.

Ahmet F Coskun1, Aydogan Ozcan2

  • 1Department of Electrical Engineering, University of California, Los Angeles, CA 90095, United States; Department of Bioengineering, University of California, Los Angeles, CA 90095, United States.

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Emerging computational imaging, sensing, and diagnostics are revolutionizing healthcare. These powerful, cost-effective technologies are making advanced medical tools more accessible and portable worldwide.

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Health Informatics

Background:

  • Traditional medical imaging, sensing, and diagnostic tools are often large, expensive, and complex.
  • Advancements in computational power and accessibility present opportunities for innovation.
  • There is a growing need for more portable, cost-effective, and powerful healthcare technologies.

Purpose of the Study:

  • To review recent advancements in computational imaging, sensing, and diagnostics.
  • To explore complementary non-computational modalities transforming global healthcare delivery.
  • To highlight the impact of computational power on medical device design and performance.

Main Methods:

  • Literature review of emerging computational imaging techniques.
  • Analysis of non-computational modalities supporting healthcare transformation.
  • Synthesis of trends in the simplification and enhancement of medical devices.

Main Results:

  • Computational techniques are simplifying traditional medical tools.
  • Emerging technologies are becoming more compact, lightweight, and cost-effective.
  • Performance of new devices rivals or exceeds traditional bench-top counterparts.

Conclusions:

  • Computational imaging, sensing, and diagnostics are poised to revolutionize healthcare.
  • Increased computational power drives innovation in accessible and portable medical devices.
  • These advancements promise to enhance healthcare delivery globally through improved technology.