Hou Huayu, Mitbander Ruchika, Tang Yubo, Azimuddin Ahad, Carns Jennifer, Schwarz Richard A, Richards-Kortum Rebecca R
Department of Bioengineering, Rice University, Houston, TX 77005, USA.
School of Medicine, Texas A&M University, Houston, TX 77030, USA.
Curr Opin Biomed Eng. 2023 Dec;28. doi: 10.1016/j.cobme.2023.100495. Epub 2023 Aug 23.
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.
癌症持续对医疗服务不足的人群造成尤为严重的影响。新型光学成像技术能够在护理点提供快速、无创且准确的癌症检测，在改善全球癌症护理方面具有巨大潜力。本文回顾了低成本光学成像技术的最新技术创新和临床转化情况，重点介绍了硬件和软件方面的进展，特别是人工智能的集成，以改善资源匮乏地区的癌症检测。此外，本文概述了将光学成像技术应用于临床实践的现有挑战和未来前景，这可能为有效改善资源匮乏地区癌症检测的新见解和新方案做出贡献。
