Welcome to the InfoSci Platform
Reference Hub1
Role of Artificial Intelligence in Biomedical Imaging

Role of Artificial Intelligence in Biomedical Imaging

Avinash Kumar Sharma, Pranav Kumar Tripathi, Sushant Sharma
Copyright: © 2023 |Pages: 18
ISBN13: 9781668469576|ISBN10: 166846957X|EISBN13: 9781668469583
DOI: 10.4018/978-1-6684-6957-6.ch002
Cite Chapter Cite Chapter

MLA

Sharma, Avinash Kumar, et al. "Role of Artificial Intelligence in Biomedical Imaging." Advancements in Bio-Medical Image Processing and Authentication in Telemedicine, edited by Rijwan Khan and Indrajeet Kumar, IGI Global, 2023, pp. 17-34. https://doi.org/10.4018/978-1-6684-6957-6.ch002

APA

Sharma, A. K., Tripathi, P. K., & Sharma, S. (2023). Role of Artificial Intelligence in Biomedical Imaging. In R. Khan & I. Kumar (Eds.), Advancements in Bio-Medical Image Processing and Authentication in Telemedicine (pp. 17-34). IGI Global. https://doi.org/10.4018/978-1-6684-6957-6.ch002

Chicago

Sharma, Avinash Kumar, Pranav Kumar Tripathi, and Sushant Sharma. "Role of Artificial Intelligence in Biomedical Imaging." In Advancements in Bio-Medical Image Processing and Authentication in Telemedicine, edited by Rijwan Khan and Indrajeet Kumar, 17-34. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-6957-6.ch002

Export Reference

Mendeley
Favorite

Abstract

A trendy technique based on computer science called artificial intelligence (AI) creates software and algorithms to make machines smart and effective at carrying out activities that often call for expert human intellect. Machine learning (ML), deep learning (DL), traditional neural networks, fuzzy logic, and speech recognition are only a few of the subsets of AI that have distinctive skills and functions that might enhance the performance of contemporary medical sciences. Biomedical imaging might undergo a revolution thanks to AI, which could increase the efficiency and precision of picture processing and interpretation. Radiologists could miss tiny abnormalities that can be detected by AI systems that have been taught to spot patterns in those pictures that are challenging for humans to interpret. AI may also be used to generate customized medicine by evaluating a patient's medical pictures and other data to customize treatment regimens, as well as to enhance image processing and visualization.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.