Optical imaging technologies for cancer detection in low-resource settings.

Journal: Current opinion in biomedical engineering
Published Date:

Abstract

Cancer continues to affect underserved populations disproportionately. Novel optical imaging technologies, which can provide rapid, non-invasive, and accurate cancer detection at the point of care, have great potential to improve global cancer care. This article reviews the recent technical innovations and clinical translation of low-cost optical imaging technologies, highlighting the advances in both hardware and software, especially the integration of artificial intelligence, to improve cancer detection in low-resource settings. Additionally, this article provides an overview of existing challenges and future perspectives of adapting optical imaging technologies into clinical practice, which can potentially contribute to novel insights and programs that effectively improve cancer detection in low-resource settings.

Authors

  • Huayu Hou
    Department of Bioengineering, Rice University, Houston, TX 77005, USA.
  • Ruchika Mitbander
    Department of Bioengineering, Rice University, Houston, TX 77005, USA.
  • Yubo Tang
    Department of Bioengineering, Rice University, Houston, TX 77005, USA.
  • Ahad Azimuddin
    School of Medicine, Texas A&M University, Houston, TX 77030, USA.
  • Jennifer Carns
    Department of Bioengineering, Rice University, Houston, TX 77005, USA.
  • Richard A Schwarz
    Department of Bioengineering, Rice University, Houston, TX 77005, USA.
  • Rebecca R Richards-Kortum
    Department of Bioengineering, Rice University, Houston, TX 77005, USA.

Keywords

No keywords available for this article.