Artificial Intelligence (AI) on a Rise in Healthcare

Ritwik Dalmia; Sarika Jain; Atef Shalan

doi:10.1201/9781003388845-8

Artificial Intelligence (AI) on a Rise in Healthcare

Ritwik Dalmia, Sarika Jain, Atef Shalan

Information Technology

Research output: Contribution to book or proceeding › Chapter › peer-review

Abstract

Artificial intelligence (AI) has the potential to transform the way healthcare is provided and enhance patient outcomes through the diagnosis and monitoring of diseases. This chapter examines the different ways in which AI is used to diagnose and track illnesses, including deep learning and machine learning. The advantages and drawbacks of AI in this area are examined, along with the necessity for high-quality data and ethical issues related to its application. The chapter also looks at potential future uses of AI for diagnosing and monitoring diseases, including the creation of new technologies and algorithms. Readers will, in short, have a comprehensive awareness of the potential of AI in healthcare and the issues that must be resolved in order to fully reap its advantages in illness diagnosis and monitoring.

Original language	English
Title of host publication	Machine Learning in Healthcare and Security
Subtitle of host publication	Advances, Obstacles, and Solutions
Publisher	CRC Press
Pages	90-102
Number of pages	13
ISBN (Electronic)	9781003825883
ISBN (Print)	9781003825883
DOIs	https://doi.org/10.1201/9781003388845-8
State	Published - Jan 1 2024

Publication series

Name	Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions

Scopus Subject Areas

General Engineering

Access to Document

10.1201/9781003388845-8

Cite this

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Artificial Intelligence (AI) on a Rise in Healthcare

Abstract

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