The Application of Artificial Intelligence in Medical Diagnostics: A New Frontier

Miao Tian; Zepeng Shen; Xingnan Wu; Kuo Wei; Yuxiang Liu

doi:10.54097/ajst.v8i2.14945

Authors

Miao Tian
Zepeng Shen
Xingnan Wu
Kuo Wei
Yuxiang Liu

DOI:

https://doi.org/10.54097/ajst.v8i2.14945

Keywords:

CNN; MRI; CT Scan.

Abstract

This study reviews the latest progress in the application of artificial intelligence (AI) in the medical field, focusing on the application of AI technology in clinical diagnosis, medical equipment management, dentistry, ophthalmology and surgical care. By analyzing multiple academic documents, this article deeply explores the role of AI in improving the accuracy of medical diagnosis, the efficiency of clinical skills training, and medical equipment management. In particular, the literature review points out the efficient performance of convolutional neural networks (CNN) in processing medical images, and its potential applications in periodontics and ophthalmology diagnosis. At the same time, this article also discusses the ethical and legal challenges faced by AI in the medical field, as well as potential directions for future development. These findings not only reveal the huge potential of AI technology in the medical field, but also highlight the ethical and governance issues that need to be considered when promoting these technologies. Overall, this review provides a comprehensive perspective for understanding the current applications and future development of AI in the medical field.

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