ReviewThe clinical respiratory journal2025
Successful Application of Artificial Intelligence-Assisted Analysis of Invasive Pulmonary Adenocarcinoma Less Than 6 mm in Size: A Case Report and Literature Review.
Review in The clinical respiratory journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
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Who cites it
1 citing paper in PubMed.
- Beyond the primary site: Molecular insights and clinical implications of cancer metastatic overlap between lung and urological organ cancers (Review).Molecular medicine reports · 2026Review
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Authors and funding
4 authors.
Funding
Abstract
introductionScreening of lung nodules helps on early diagnosis of lung cancer, especially invasive pulmonary adenocarcinoma. Artificial intelligence (AI) has been applied in diagnosis of cancers. We used the AI-assisted lung nodule diagnostic system in the screening of lung nodules and lung cancer. CASE PRESENTATION: A 66-year-old male complained of coughs and nodules in the right lung of 3-year duration. A ground-glass opacity was found in the right upper lung by routine computed tomography (CT). He had no family history of cancer, genetic diseases, or infectious diseases. AI-assisted analysis found four nodules, of which one was with the risk of malignancy of 88% (LungRads3), one was with the risk of malignancy of 15% (LungRads2), and the other two were smaller in size and considered benign. The patient underwent a thoracoscopic wedge resection of the right upper lung. The intraoperative frozen section pathology report confirmed invasive pulmonary adenocarcinoma, grade II, and primarily of alveolar and adherent types without metastasis.
conclusionIn summary, AI-assisted lung nodule diagnostic system is effective in the screening of lung nodules and the differentiation between benign and malignant.
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