X-ray Machines integration with AI

1Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Artificial Intelligence is making tremendous progress in the past few years, Especially in the Medical Sector. The paper mainly focuses on the ways X-ray machines have been integrated with AI and how AI detects the X-rays and predicts the results correctly. The paper will begin with a brief introduction of why this is the right time to try hands in AI and how it will help the radiologists in easing their lives. The paper will then explain how Artificial Intelligence can be implemented in X-rays using Machine learning techniques and Deep learning algorithms. Moving forward, the paper will then explain about the existing systems made by companies or universities where each system has their own unique speed, features and advantages/disadvantages. Further the paper will inform how AI can help and reduce the risk of social contacting while testing for the COVID test.

Cite

CITATION STYLE

APA

Gada, U., Jain, N., Kodeboyina, S., & Menon, R. (2020). X-ray Machines integration with AI. In 20th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2020 - Proceedings (pp. 23–28). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/CINTI51262.2020.9305855

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free