Artificial intelligence in interventional pulmonology.
Journal
Current opinion in pulmonary medicine
ISSN: 1531-6971
Titre abrégé: Curr Opin Pulm Med
Pays: United States
ID NLM: 9503765
Informations de publication
Date de publication:
01 Jan 2024
01 Jan 2024
Historique:
medline:
6
12
2023
pubmed:
2
11
2023
entrez:
2
11
2023
Statut:
ppublish
Résumé
In recent years, there has been remarkable progress in the field of artificial intelligence technology. Artificial intelligence applications have been extensively researched and actively implemented across various domains within healthcare. This study reviews the current state of artificial intelligence research in interventional pulmonology and engages in a discussion to comprehend its capabilities and implications. Deep learning, a subset of artificial intelligence, has found extensive applications in recent years, enabling highly accurate identification and labeling of bronchial segments solely from intraluminal bronchial images. Furthermore, research has explored the use of artificial intelligence for the analysis of endobronchial ultrasound images, achieving a high degree of accuracy in distinguishing between benign and malignant targets within ultrasound images. These advancements have become possible due to the increased computational power of modern systems and the utilization of vast datasets, facilitating detections and predictions with greater precision and speed. Artificial intelligence integration into interventional pulmonology has the potential to enhance diagnostic accuracy and patient safety, ultimately leading to improved patient outcomes. However, the clinical impacts of artificial intelligence enhanced procedures remain unassessed. Additional research is necessary to evaluate both the advantages and disadvantages of artificial intelligence in the field of interventional pulmonology.
Identifiants
pubmed: 37916605
doi: 10.1097/MCP.0000000000001024
pii: 00063198-990000000-00120
doi:
Types de publication
Review
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
92-98Informations de copyright
Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.
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