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Published on 8 November 2024
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Lee,Y. (2024). Application of AI-Driven Medical Image Recognition in Precision Medicine and Healthcare. Applied and Computational Engineering,102,169-174.
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Application of AI-Driven Medical Image Recognition in Precision Medicine and Healthcare

Yuting Lee *,1,
  • 1 The University of Hong Kong, Pok Fu Lam, Hong Kong, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/102/20241267

Abstract

Artificial Intelligence (AI) has been playing an important role in medical image recognition, especially in precision medicine and health management, where AI can improve the accuracy and efficiency of diagnosis by utilizing advanced technologies such as deep learning. This paper explores in detail the application of AI techniques in the early diagnosis of cancer, image analysis of cardiovascular diseases, and assessment of neuropsychiatric disorders. We also identify challenges in technical standards, data security and privacy protection, and interdisciplinary collaboration, and emphasize the importance of establishing effective technical standards and evaluation systems, as well as fostering collaboration among experts in various fields.

Keywords

AI, medical image recognition, precision medicine, interdisciplinary collaboration.

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Cite this article

Lee,Y. (2024). Application of AI-Driven Medical Image Recognition in Precision Medicine and Healthcare. Applied and Computational Engineering,102,169-174.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Machine Learning and Automation

Conference website: https://2024.confmla.org/
ISBN:978-1-83558-693-8(Print) / 978-1-83558-694-5(Online)
Conference date: 12 January 2025
Editor:Mustafa ISTANBULLU
Series: Applied and Computational Engineering
Volume number: Vol.102
ISSN:2755-2721(Print) / 2755-273X(Online)

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