Artificial Intelligence in Endoscopy

Jesse R. Conner; Aman B. Ali; Nabil Tariq

doi:10.1007/978-3-031-21044-0_45

Artificial Intelligence in Endoscopy

Jesse R. Conner, Aman B. Ali, Nabil Tariq

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

As the use of artificial intelligence (AI) in medicine increases, the field of endoscopy is uniquely positioned to be at the forefront of advancement. Modern-day artificial intelligence is based on neural networks, which have the ability to rapidly process an enormous amount of data. With high-definition endoscopes and advanced imaging techniques, there is a vast amount of data available to train AI algorithms to assist the clinician in the diagnosis and treatment of disease. The following is an overview of the development of AI and its current and future uses in the field of endoscopy.

Original language	English (US)
Title of host publication	The SAGES Manual Operating through the Endoscope, Second Edition
Publisher	Springer International Publishing
Pages	929-950
Number of pages	22
ISBN (Electronic)	9783031210440
ISBN (Print)	9783031210433
DOIs	https://doi.org/10.1007/978-3-031-21044-0_45
State	Published - Jan 1 2023

Keywords

Artificial intelligence
Computer-assisted diagnosis (CAD)
Deep learning
Intelligent real-time image segmentation (IRIS)
Machine learning

ASJC Scopus subject areas

Medicine(all)

Access to Document

10.1007/978-3-031-21044-0_45

Cite this

@inbook{cde5196a5907439e913118163512de35,

title = "Artificial Intelligence in Endoscopy",

abstract = "As the use of artificial intelligence (AI) in medicine increases, the field of endoscopy is uniquely positioned to be at the forefront of advancement. Modern-day artificial intelligence is based on neural networks, which have the ability to rapidly process an enormous amount of data. With high-definition endoscopes and advanced imaging techniques, there is a vast amount of data available to train AI algorithms to assist the clinician in the diagnosis and treatment of disease. The following is an overview of the development of AI and its current and future uses in the field of endoscopy.",

keywords = "Artificial intelligence, Computer-assisted diagnosis (CAD), Deep learning, Intelligent real-time image segmentation (IRIS), Machine learning",

author = "Conner, {Jesse R.} and Ali, {Aman B.} and Nabil Tariq",

note = "Publisher Copyright: {\textcopyright} SAGES 2023.",

year = "2023",

month = jan,

day = "1",

doi = "10.1007/978-3-031-21044-0_45",

language = "English (US)",

isbn = "9783031210433",

pages = "929--950",

booktitle = "The SAGES Manual Operating through the Endoscope, Second Edition",

publisher = "Springer International Publishing",

}

TY - CHAP

T1 - Artificial Intelligence in Endoscopy

AU - Conner, Jesse R.

AU - Ali, Aman B.

AU - Tariq, Nabil

N1 - Publisher Copyright: © SAGES 2023.

PY - 2023/1/1

Y1 - 2023/1/1

N2 - As the use of artificial intelligence (AI) in medicine increases, the field of endoscopy is uniquely positioned to be at the forefront of advancement. Modern-day artificial intelligence is based on neural networks, which have the ability to rapidly process an enormous amount of data. With high-definition endoscopes and advanced imaging techniques, there is a vast amount of data available to train AI algorithms to assist the clinician in the diagnosis and treatment of disease. The following is an overview of the development of AI and its current and future uses in the field of endoscopy.

AB - As the use of artificial intelligence (AI) in medicine increases, the field of endoscopy is uniquely positioned to be at the forefront of advancement. Modern-day artificial intelligence is based on neural networks, which have the ability to rapidly process an enormous amount of data. With high-definition endoscopes and advanced imaging techniques, there is a vast amount of data available to train AI algorithms to assist the clinician in the diagnosis and treatment of disease. The following is an overview of the development of AI and its current and future uses in the field of endoscopy.

KW - Artificial intelligence

KW - Computer-assisted diagnosis (CAD)

KW - Deep learning

KW - Intelligent real-time image segmentation (IRIS)

KW - Machine learning

UR - http://www.scopus.com/inward/record.url?scp=85170171185&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85170171185&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-21044-0_45

DO - 10.1007/978-3-031-21044-0_45

M3 - Chapter

AN - SCOPUS:85170171185

SN - 9783031210433

SP - 929

EP - 950

BT - The SAGES Manual Operating through the Endoscope, Second Edition

PB - Springer International Publishing

ER -

Artificial Intelligence in Endoscopy

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this