Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence

Karthik Seetharam; Sirish Shrestha; Partho P. Sengupta

doi:10.15420/icr.2020.04

Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence

Karthik Seetharam, Sirish Shrestha, Partho P. Sengupta

Research output: Contribution to journal › Article › peer-review

Abstract

Artificial Intelligence (AI) is the simulation of human intelligence in machines so they can perform various actions and execute decision-making. Machine learning (ML), a branch of AI, can analyse information from data and discover novel patterns. AI and ML are rapidly gaining prominence in healthcare as data become increasingly complex. These algorithms can enhance the role of cardiovascular imaging by automating many tasks or calculations, find new patterns or phenotypes in data and provide alternative diagnoses. In interventional cardiology, AI can assist in intraprocedural guidance, intravascular imaging and provide additional information to the operator. AI is slowly expanding its boundaries into interventional cardiology and can fundamentally alter the field. In this review, the authors discuss how AI can enhance the role of cardiovascular imaging and imaging in interventional cardiology.

Original language	American English
Article number	e31
Journal	Interventional Cardiology: Reviews, Research, Resources
Volume	16
DOIs	https://doi.org/10.15420/icr.2020.04
State	Published - 2021
Externally published	Yes

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine

Keywords

Artificial intelligence
Cardiovascular imaging
Diagnostic tool
Interventional cardiology

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10.15420/icr.2020.04

Cite this

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title = "Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence",

abstract = "Artificial Intelligence (AI) is the simulation of human intelligence in machines so they can perform various actions and execute decision-making. Machine learning (ML), a branch of AI, can analyse information from data and discover novel patterns. AI and ML are rapidly gaining prominence in healthcare as data become increasingly complex. These algorithms can enhance the role of cardiovascular imaging by automating many tasks or calculations, find new patterns or phenotypes in data and provide alternative diagnoses. In interventional cardiology, AI can assist in intraprocedural guidance, intravascular imaging and provide additional information to the operator. AI is slowly expanding its boundaries into interventional cardiology and can fundamentally alter the field. In this review, the authors discuss how AI can enhance the role of cardiovascular imaging and imaging in interventional cardiology.",

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journal = "Interventional Cardiology: Reviews, Research, Resources",

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AU - Seetharam, Karthik

AU - Shrestha, Sirish

AU - Sengupta, Partho P.

N1 - Publisher Copyright: © RADCLIFFE CARDIOLOGY 2021.

PY - 2021

Y1 - 2021

N2 - Artificial Intelligence (AI) is the simulation of human intelligence in machines so they can perform various actions and execute decision-making. Machine learning (ML), a branch of AI, can analyse information from data and discover novel patterns. AI and ML are rapidly gaining prominence in healthcare as data become increasingly complex. These algorithms can enhance the role of cardiovascular imaging by automating many tasks or calculations, find new patterns or phenotypes in data and provide alternative diagnoses. In interventional cardiology, AI can assist in intraprocedural guidance, intravascular imaging and provide additional information to the operator. AI is slowly expanding its boundaries into interventional cardiology and can fundamentally alter the field. In this review, the authors discuss how AI can enhance the role of cardiovascular imaging and imaging in interventional cardiology.

AB - Artificial Intelligence (AI) is the simulation of human intelligence in machines so they can perform various actions and execute decision-making. Machine learning (ML), a branch of AI, can analyse information from data and discover novel patterns. AI and ML are rapidly gaining prominence in healthcare as data become increasingly complex. These algorithms can enhance the role of cardiovascular imaging by automating many tasks or calculations, find new patterns or phenotypes in data and provide alternative diagnoses. In interventional cardiology, AI can assist in intraprocedural guidance, intravascular imaging and provide additional information to the operator. AI is slowly expanding its boundaries into interventional cardiology and can fundamentally alter the field. In this review, the authors discuss how AI can enhance the role of cardiovascular imaging and imaging in interventional cardiology.

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KW - Cardiovascular imaging

KW - Diagnostic tool

KW - Interventional cardiology

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ER -

Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence

Abstract

ASJC Scopus subject areas

Keywords

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