Application of AI-Driven Medical Image Recognition in Precision Medicine and Healthcare

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.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-08
DOI
https://doi.org/10.54254/2755-2721/102/20241267
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.12
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article

Application of AI-Driven Medical Image Recognition in Precision Medicine and Healthcare

Yuting Lee
1 citations
Applied and Computational Engineering
Artificial Intelligence in Healthcare and Education
0.12
article

Application of AI-Driven Medical Image Recognition in Precision Medicine and Healthcare

Yuting Lee
article en
1 citations

Abstract

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.

Applied and Computational EngineeringVol. 102(1)
University of Hong Kong (HK)
Partnerships for the goals
Openalex Percentile: Top 47%
Artificial Intelligence in Healthcare and Education
0.12
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