A Narrative Review of the Use of Artificial Intelligence in Breast, Lung, and Prostate Cancer-Reference-Cited by-同舟云学术

A Narrative Review of the Use of Artificial Intelligence in Breast, Lung, and Prostate Cancer

Published:2023-10-04 Issue:10 Volume:13 Page:2011
ISSN:2075-1729
Container-title:Life
language:en
Short-container-title:Life

Author:

Patel Kishan¹,Huang Sherry²,Rashid Arnav³,Varghese Bino¹,Gholamrezanezhad Ali¹

Affiliation:

1. Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA

2. Department of Urology, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA

3. Department of Biological Sciences, Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA 90089, USA

Abstract

Artificial intelligence (AI) has been an important topic within radiology. Currently, AI is used clinically to assist with the detection of lesions through detection systems. However, a number of recent studies have demonstrated the increased value of neural networks in radiology. With an increasing number of screening requirements for cancers, this review aims to study the accuracy of the numerous AI models used in the detection and diagnosis of breast, lung, and prostate cancers. This study summarizes pertinent findings from reviewed articles and provides analysis on the relevancy to clinical radiology. This study found that whereas AI is showing continual improvement in radiology, AI alone does not surpass the effectiveness of a radiologist. Additionally, it was found that there are multiple variations on how AI should be integrated with a radiologist’s workflow.

Publisher

MDPI AG

Subject

Paleontology,Space and Planetary Science,General Biochemistry, Genetics and Molecular Biology,Ecology, Evolution, Behavior and Systematics

Link

https://www.mdpi.com/2075-1729/13/10/2011/pdf

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