Research map: Diagnostic performance with sensitivity/specificity optimized computer-aided detection to detect common abnormalities in chest radiography

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  1. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics · Yoshinobu Kanda · 2012 · 19329 citations · Cited by this paper
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  9. Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency · Jong Seok Ahn · 2022 · 140 citations · Cited by this paper
  10. Role of extracellular volume fraction determined by dual-layer spectral detector CT in predicting the tumor grade of pancreatic neuroendocrine neoplasms · 2026 · Related
  11. Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system · Keelin Murphy · 2020 · 124 citations · Cited by this paper
  12. Early prediction of joint space narrowing in rheumatoid arthritis using AI-quantified bilateral joint space asymmetry on hand radiography · 2026 · Related
  13. An Artificial Intelligence–Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study · Fatemeh Homayounieh · 2021 · 113 citations · Cited by this paper
  14. Deep learning-based motion correction: cardiac motion artifact and image quality improvements on chest CT · 2026 · Related
  15. The impact of artificial intelligence on the reading times of radiologists for chest radiographs · Hyun Joo Shin · 2023 · 95 citations · Cited by this paper
  16. MRI-based assessment for optimal breast cancer local therapy in the era of BI-RADS v2025 · 2026 · Related
  17. Using AI to Improve Radiologist Performance in Detection of Abnormalities on Chest Radiographs · Souhail Bennani · 2023 · 93 citations · Cited by this paper
  18. Intravoxel incoherent motion diffusion-weighted imaging for early response stratification of neoadjuvant immune checkpoint inhibitor plus tyrosine kinase inhibitor in renal cell carcinoma: an exploratory study · 2026 · Related
  19. A Framework for Random-Effects ROC Analysis: Biases with the Bootstrap and Other Variance Estimators · Brandon D. Gallas · 2009 · 73 citations · Cited by this paper
  20. Peritumoral fat content using iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) is associated with triple-negative breast cancer · 2026 · Related
  21. Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays · Pamela G. Anderson · 2024 · 61 citations · Cited by this paper
  22. Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment · Florin C. Ghesu · 2019 · 52 citations · Cited by this paper
  23. Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study · Kwang Nam Jin · 2022 · 37 citations · Cited by this paper
  24. Performance of AI to exclude normal chest radiographs to reduce radiologists’ workload · Steven Schalekamp · 2024 · 27 citations · Cited by this paper
  25. Real-World evaluation of an AI triaging system for chest X-rays: A prospective clinical study · Srinath Sridharan · 2024 · 27 citations · Cited by this paper
  26. Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort · Hyunsuk Yoo · 2022 · 25 citations · Cited by this paper
  27. Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort · Eun Young Kim · 2021 · 24 citations · Cited by this paper
  28. CAD4TB software updates: different triaging thresholds require caution by users and regulation by authorities · Jana Fehr · 2023 · 20 citations · Cited by this paper
  29. Using AI to Identify Unremarkable Chest Radiographs for Automatic Reporting · Louis Lind Plesner · 2024 · 20 citations · Cited by this paper
  30. Clinical evaluation of computer-aided digital x-ray detection of pulmonary tuberculosis during community-based screening or active case-finding: a case–control study · Alex John Scott · 2025 · 12 citations · Cited by this paper
  31. The radiologist as a physician – artificial intelligence as a way to overcome tension between the patient, technology, and referring physicians – a narrative review · Christoph Alexander Stueckle · 2024 · 6 citations · Cited by this paper
  32. Untitled · Cited by this paper

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