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

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dc.citation.articleNumber100495en_US
dc.citation.journalTitleCurrent Opinion in Biomedical Engineeringen_US
dc.citation.volumeNumber28en_US
dc.contributor.authorHou, Huayuen_US
dc.contributor.authorMitbander, Ruchikaen_US
dc.contributor.authorTang, Yuboen_US
dc.contributor.authorAzimuddin, Ahaden_US
dc.contributor.authorCarns, Jenniferen_US
dc.contributor.authorSchwarz, Richard A.en_US
dc.contributor.authorRichards-Kortum, Rebecca R.en_US
dc.contributor.orgBioengineeringen_US
dc.date.accessioned2024-05-08T18:56:09Zen_US
dc.date.available2024-05-08T18:56:09Zen_US
dc.date.issued2023en_US
dc.description.abstractCancer 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 in vivo 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.en_US
dc.identifier.citationHou, H., Mitbander, R., Tang, Y., Azimuddin, A., Carns, J., Schwarz, R. A., & Richards-Kortum, R. R. (2023). Optical imaging technologies for in vivo cancer detection in low-resource settings. Current Opinion in Biomedical Engineering, 28, 100495. https://doi.org/10.1016/j.cobme.2023.100495en_US
dc.identifier.digital1-s20-S246845112300051X-mainen_US
dc.identifier.doihttps://doi.org/10.1016/j.cobme.2023.100495en_US
dc.identifier.urihttps://hdl.handle.net/1911/115658en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsExcept where otherwise noted, this work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license. Permission to reuse, publish, or reproduce the work beyond the terms of the license or beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.titleOptical imaging technologies for in vivo cancer detection in low-resource settingsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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