Applications of Artificial Intelligence in Non-cardiac Vascular Diseases: A Bibliographic Analysis

Abstract

Research output related to artificial intelligence (AI) in vascular diseases has been poorly investigated. The aim of this study was to evaluate scientific publications on AI in non-cardiac vascular diseases. A systematic literature search was conducted using the PubMed database and a combination of keywords and focused on three main vascular diseases (carotid, aortic and peripheral artery diseases). Original articles written in English and published between January 1995 and December 2020 were included. Data extracted included the date of publication, the journal, the identity, number, affiliated country of authors, the topics of research, and the fields of AI. Among 171 articles included, the three most productive countries were USA, China, and United Kingdom. The fields developed within AI included: machine learning (n = 90; 45.0%), vision (n = 45; 22.5%), robotics (n = 42; 21.0%), expert system (n = 15; 7.5%), and natural language processing (n = 8; 4.0%). The applications were mainly new tools for: the treatment (n = 52; 29.1%), prognosis (n = 45; 25.1%), the diagnosis and classification of vascular diseases (n = 38; 21.2%), and imaging segmentation (n = 38; 21.2%). By identifying the main techniques and applications, this study also pointed to the current limitations and may help to better foresee future applications for clinical practice.

Applications of Artificial Intelligence in Vascular Diseases

“…13 In the last few years, AI has acquired several applications in the diagnosis and treatment of a variety of diseases and conditions. 14,15 As supported by Lareyre et al, 1 AI has extended into several applications in vascular diseases, ranging from diagnosis and classification to prognosis and risk prediction, imaging analysis and treatment. In the future (but also currently in certain diseases), AI will play a key role in all aspects of the management of vascular patients.…”

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In their comprehensive article, Lareyre et al evaluated scientific publications on artificial intelligence (AI) on noncardiac vascular diseases. 1 The authors provided a quantitative assessment of research output on publications related to AI in carotid artery stenosis, aortic and peripheral artery disease. 1 The bibliometric analysis of original articles published on AI in non-cardiac vascular diseases showed increased numbers over the past 5 years.

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“…1 The authors provided a quantitative assessment of research output on publications related to AI in carotid artery stenosis, aortic and peripheral artery disease. 1 The bibliometric analysis of original articles published on AI in non-cardiac vascular diseases showed increased numbers over the past 5 years. 1 AI, with its numerous applications, has emerged as an indispensable part of healthcare.…”

“…1 The bibliometric analysis of original articles published on AI in non-cardiac vascular diseases showed increased numbers over the past 5 years. 1 AI, with its numerous applications, has emerged as an indispensable part of healthcare. By means of its 2 subcategories, namely, machine learning (ML) and deep learning (DL), AI has expanded over the field of medical imaging and medical diagnosis to cover all aspects of vascular disease, from diagnosis to staging and treatment.…”

“…1 The bibliometric analysis of original articles published on AI in non-cardiac vascular diseases showed increased numbers over the past 5 years. 1…”