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

Author:

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

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.

Publisher

Darcy & Roy Press Co. Ltd.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Artificial Intelligence for Pediatric Emergency Medicine;Journal of Medicine, Surgery, and Public Health;2024-08

2. Data Pipeline Training: Integrating AutoML to Optimize the Data Flow of Machine Learning Models;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01

3. Application of K-means clustering based on artificial intelligence in gene statistics of biological information engineering;Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing;2024-01-26

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