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Artificial Intelligence-aided Optical Imaging for Cancer Theranostics by Mengze Xu; Zhiyi Chen; Junxiao Zheng; Qi Zhao; Zhen Yuan is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Artificial Intelligence-aided Optical Imaging for Cancer Theranostics about?

The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high accuracy and high efficiency in medical decision-making for individualized cancer medicine. In particular, optical imaging methods are able to visualize both the structural and functional information of tumors tissues with high contrast, low cost, and noninvasive property. However, no systematic work has been performed to inspect the recent advances on AI-aided optical imaging for cancer theranostics. In this review, we demonstrated how AI can guide optical imaging methods to improve the accuracy on tumor detection, automated analysis and prediction of its histopathological section, its monitoring during treatment, and its prognosis by using computer vision, deep learning and natural language processing. By contrast, the optical imaging techniques involved mainly consisted of various tomography and microscopy imaging methods such as optical endoscopy imaging, optical coherence tomography, photoacoustic imaging, diffuse optical tomography, optical microscopy imaging, Raman imaging, and fluorescent imaging. Meanwhile, existing problems, possible challenges and future prospects for AI-aided

Who reads Artificial Intelligence-aided Optical Imaging for Cancer Theranostics?

Author

Mengze Xu; Zhiyi Chen; Junxiao Zheng; Qi Zhao; Zhen Yuan

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)