ArticleAnnals of the American Thoracic Society2024
Differential Diagnosis of Pleural Effusion Using Machine Learning.
Article in Annals of the American Thoracic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
13 citing papers in PubMed, 11 citations in OpenAlex.
- Biochemistry-based machine learning algorithms in differentiating pleural effusion: current status and perspective.ERJ open research · 2026Review
- Recent advances in artificial intelligence across interventional pulmonology: a narrative review.Journal of thoracic disease · 2026Review
- Automated Detection and Classification of Pleural Effusion on Computed Tomography Using Deep Learning.Journal of imaging informatics in medicine · 2026Article
- Generative AI for patient education in cancer care: A scoping review of evaluation practices and emerging trends.Technical innovations & patient support in radiation oncology · 2026Review
- A deep learning model based on ultrasound imaging to differentiate malignant from benign pleural effusion: a multicenter cohort study.Respiratory research · 2026Article
- Artificial Intelligence in Pleural Diseases: Current Applications and Next Steps.Thoracic research and practice · 2026Article
- Development and external validation of machine-learning models for diagnosing malignant pleural effusion.Frontiers in oncology · 2026Article
- Bypassing pleural aspiration for early tissue diagnosis in suspected pleural malignancy: Development and external validation of a predictive model using supervised machine learning.Qatar medical journal · 2026Article
- The Evolving Role of Medical Thoracoscopy for the Management of Malignant Pleural Effusion.Current oncology (Toronto, Ont.) · 2025Review
- Intercostal Artery Screening with Color Doppler Thoracic Ultrasound in Pleural Procedures: A Potential Yet Underexplored Imaging Modality for Minimizing Iatrogenic Bleeding Risk in Interventional Pulmonology.Journal of clinical medicine · 2025Review
- Machine learning-based Diagnostic model for determining the etiology of pleural effusion using Age, ADA and LDH.Respiratory research · 2025Article
- Harnessing AI for Improved Detection and Classification of Pleural Effusion: Insights and Innovations.Canadian respiratory journal · 2025Review
- Man versus Machine in Pleural Diagnostics: Does Artificial Intelligence Provide the Solution?Annals of the American Thoracic Society · 2024Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.