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Human Body-Related Disease Diagnosis Systems Using CMOS Image Sensors: A Systematic Review.

Suparshya Babu Sukhavasi1, Susrutha Babu Sukhavasi1, Khaled Elleithy1

  • 1Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT 06604, USA.

Sensors (Basel, Switzerland)
|April 3, 2021
PubMed
Summary

This study reviews how CMOS image sensors (CIS) aid in diagnosing diseases across vital organs. It evaluates system capabilities, accuracy, and highlights potent diagnostic technologies for better health outcomes.

Keywords:
CMOSCMOS image sensorsbiomedical CMOS image sensorsimplantable CMOS image sensorsmedical applicationsmedical imaging systemssmartphone CMOS image sensors

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Area of Science:

  • Medical Imaging Technology
  • Biomedical Engineering
  • Diagnostic Systems

Background:

  • Human life expectancy is threatened by diseases like cancer and heart disease, necessitating advanced diagnostic tools.
  • The Center for Disease Control and Prevention (CDC) reports millions of deaths annually from major illnesses.
  • Early and accurate disease diagnosis is crucial for effective treatment and maintaining public health.

Purpose of the Study:

  • To systematically review and evaluate the capabilities of CMOS image sensor (CIS) incorporated systems for disease diagnosis.
  • To highlight potent CIS-based diagnostic systems for vital human organs and disease-causing bacteria.
  • To analyze the advantages, disadvantages, and accuracy of these diagnostic systems.

Main Methods:

  • A systematic literature review was conducted using the PRISMA workflow for study selection.
  • Parameter-based evaluation of CIS disease diagnosis systems related to human organs.
  • Mapping of CIS models to specific organs and tabulation of data from the last decade.

Main Results:

  • CIS technology is increasingly integrated into medical devices for disease monitoring and diagnosis.
  • Various CIS models show significant potential in diagnosing conditions affecting the heart, lungs, brain, eyes, and more.
  • The review provides a comparative analysis of system capabilities, accuracy, and limitations.

Conclusions:

  • CMOS image sensors offer a promising technological advancement for non-invasive and efficient disease diagnosis.
  • Further research and development in CIS-based systems can significantly improve early disease detection and patient outcomes.
  • This review serves as a valuable resource for understanding the current landscape and future potential of CIS in medical diagnostics.