ReviewDiagnostics (Basel, Switzerland)2023
Recent Advances of Artificial Intelligence Applications in Interstitial Lung Diseases.
Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Advances in the Diagnosis of Rheumatoid Arthritis-Associated Interstitial Lung Disease: Integrating Conventional Tools and Emerging Biomarkers.International journal of molecular sciences · 2026Review
- Artificial Intelligence Enabled Lung Sound Auscultation in the Early Diagnosis and Subtyping of Interstitial Lung Disease.Journal of clinical medicine · 2025Review
- Radiomics and Artificial Intelligence in Pulmonary Fibrosis.Journal of imaging informatics in medicine · 2025Review
- Pathophysiological Insights and Clinical Management Strategies for Interstitial Lung Diseases.Biomolecules & therapeutics · 2025Review
- Review
- The use of mechanical ventilation in interstitial lung disease.Breathe (Sheffield, England) · 2025Review
- Interstitial Lung Abnormalities: Unraveling the Journey from Incidental Discovery to Clinical Significance.Diagnostics (Basel, Switzerland) · 2025Review
- Feasibility of UsingDiagnostics (Basel, Switzerland) · 2024Article
- Pixel-Wise Interstitial Lung Disease Interval Change Analysis: A Quantitative Evaluation Method for Chest Radiographs Using Weakly Supervised Learning.Bioengineering (Basel, Switzerland) · 2024Article
- Revolutionizing Pulmonary Diagnostics: A Narrative Review of Artificial Intelligence Applications in Lung Imaging.Cureus · 2024Review
- In vitro PK/PD modeling of tyrosine kinase inhibitors in non-small cell lung cancer cell lines.Clinical and translational science · 2024Article
- The Unveiled Triad: Clinical, Radiological and Pathological Insights into Hypersensitivity Pneumonitis.Journal of clinical medicine · 2024Review
- Enhanced diagnosing patients suspected of sarcoidosis using a hybrid support vector regression model with bald eagle and chimp optimizers.PeerJ. Computer science · 2024Article
- Multimodal Diagnostics of Changes in Rat Lungs after Vaping.Diagnostics (Basel, Switzerland) · 2023Article
- Artificial intelligence in respiratory care: Current scenario and future perspective.Annals of thoracic medicineArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Interstitial lung diseases (ILDs) comprise a rather heterogeneous group of diseases varying in pathophysiology, presentation, epidemiology, diagnosis, treatment and prognosis. Even though they have been recognized for several years, there are still areas of research debate. In the majority of ILDs, imaging modalities and especially high-resolution Computed Tomography (CT) scans have been the cornerstone in patient diagnostic approach and follow-up. The intricate nature of ILDs and the accompanying data have led to an increasing adoption of artificial intelligence (AI) techniques, primarily on imaging data but also in genetic data, spirometry and lung diffusion, among others. In this literature review, we describe the most prominent applications of AI in ILDs presented approximately within the last five years. We roughly stratify these studies in three categories, namely: (i) screening, (ii) diagnosis and classification, (iii) prognosis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.