Perceptions of Artificial Intelligence Among Pulmonologists

<title>Extract</title> Artificial intelligence (AI) applications are being increasingly deployed within medical specialties, including pulmonology [1]. An early role for these applications within pulmonology lies in lung nodule management [2]. This is especially important for interventional pulmonologists (IP) and advanced diagnostic bronchoscopists (ADB). There are an estimated 1.6 million lung nodules identified annually in the United States, and management remains a challenge [3]. Thus, there is an increasing relevance of AI applications that aid in lung nodule detection, tracking, and risk characterization. Also, experimental reports have demonstrated autonomous medical needle steering in-vivo in animals <italic>i.e.</italic> AI-aided navigational bronchoscopy [4]. As the adoption of AI increases in pulmonology, it is essential that healthcare professionals (HCPs) are familiar with AI-related terms, technologies, and their advantages and disadvantages. Accordingly, a survey was conducted to assess the perspectives of IP and ADB HCPs regarding the integration of AI into their clinical practice.

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Publication Details

Journal
ERJ Open Research
Published
2025-11-13
DOI
https://doi.org/10.1183/23120541.01304-2025
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Perceptions of Artificial Intelligence Among Pulmonologists

Vishisht Mehta, Sameer K. Avasarala
ERJ Open Research
Lung Cancer Diagnosis and Treatment
article

Perceptions of Artificial Intelligence Among Pulmonologists

Vishisht Mehta, Sameer K. Avasarala
article en

Abstract

<title>Extract</title> Artificial intelligence (AI) applications are being increasingly deployed within medical specialties, including pulmonology [1]. An early role for these applications within pulmonology lies in lung nodule management [2]. This is especially important for interventional pulmonologists (IP) and advanced diagnostic bronchoscopists (ADB). There are an estimated 1.6 million lung nodules identified annually in the United States, and management remains a challenge [3]. Thus, there is an increasing relevance of AI applications that aid in lung nodule detection, tracking, and risk characterization. Also, experimental reports have demonstrated autonomous medical needle steering in-vivo in animals <italic>i.e.</italic> AI-aided navigational bronchoscopy [4]. As the adoption of AI increases in pulmonology, it is essential that healthcare professionals (HCPs) are familiar with AI-related terms, technologies, and their advantages and disadvantages. Accordingly, a survey was conducted to assess the perspectives of IP and ADB HCPs regarding the integration of AI into their clinical practice.

ERJ Open Research
University Hospitals of Cleveland (US), Comprehensive Cancer Centers of Nevada (US), Case Western Reserve University (US)
Openalex Percentile: Top 51%
Lung Cancer Diagnosis and Treatment
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