ArticleRespirology case reports2024
Unveiling the radiological odyssey: Navigating the interstitial with artificial intelligence.
Article in Respirology case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- AI-Based HRCT Quantification in Connective Tissue Disease-Associated Interstitial Lung Disease.Diagnostics (Basel, Switzerland) · 2025Article
- Unveiling the radiological odyssey: Navigating the interstitial with artificial intelligence.Respirology case reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study examines the radiological and clinical evolution of a case involving mixed idiopathic pulmonary fibrosis and chronic hypersensitivity pneumonitis, utilizing conventional CT imaging and artificial intelligence tool. Through a series of exams and clinical assessments, the patient was followed for over 3 years, highlighting the challenge in differentiating these interstitial pathologies and the importance of a multidisciplinary approach. The radiological progression towards pulmonary fibrosis was correlated with clinical symptoms, emphasizing the significance of early diagnosis and regular follow-up. The combined use of advanced technologies offers a more comprehensive framework in managing complex lung diseases, enhancing the quality of care and understanding of interstitial pathologies.
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Registered trials
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