AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial

Cited by (141)

Items 101–141 of 141

  1. Health Screening Analysis Using Machine Learning
    Pankaj Kumar, Vipin Kumar Pal, Dhruv Verma, Manasvi Agarwal, Mansi Jain, Harsh Panwar · 2025 · BENTHAM SCIENCE PUBLISHERS eBooks
  2. AI Implementation in Thoracic Radiology: It Is Getting Closer
    Edwin J.R. van Beek · 2025 · Radiology
  3. AI-driven nodule detection in chest X-rays: Validation with radiologist-confirmed CT and X-ray findings
    Yeliz Başar · 2025 · The European Research Journal
  4. KI in der klinischen Routine
    Jakob Nikolas Kather · 2025 · Springer eBooks
  5. Utilizing artificial intelligence as an arbitrary tool in managing difficult COVID-19 cases in critical care medicine.
    Lyubomir Chervenkov, Dimitrina Miteva, Tsvetelina Veselinova Velikova · 2025 · PubMed
  6. Challenging the Status Quo Regarding the Benefit of Chest Radiographic Screening
    David F. Yankelevitz, Rowena Yip, Claudia I. Henschke · 2025 · Journal of Thoracic Imaging
  7. Artificial Intelligence in the evaluation of pulmonary nodules: performance, workflow integration, and lessons for the Brazilian Unified Health System (SUS)
    Caio Fogaça Prates, Felipe do Nascimento Gomes, Danielle Furtado de Oliveira, Nathalia Lopez Duarte · 2025 · Caderno Pedagógico
  8. Automated radiology workstation: comparing two approaches for selecting radiodiagnostic solutions (technical report)
    Yuriy Aleksandrovich Vasilev, Ekaterina A. Slavushcheva, Maria A. Zelenova, Шулькин Игорь Михайлович, Kirill M. Arzamasov · 2025 · Digital Diagnostics
  9. Opinion paper: artificial intelligence as a clinical ally in lung cancer detection—the case for Gleamer’s ChestView
    Esteban Zavaleta‐Monestel, Sebastián Arguedas‐Chacón, Jeaustin Mora-Jiménez, Kevin Cruz-Mora, Abraham Rocha-Romero · 2025 · Frontiers in Oncology
  10. Artificial intelligence in thoracic surgery: Perspectives and challenges
    Wenwei Liao, Bin Peng, Guanggui Ding, Zhikai Li, Guangsuo Wang · 2025 · Surgery in Practice and Science
  11. IDF: Individual Difference-aware Framework for Cross-Patient Image Segmentation
    Zibo Ma, Jianfei Huo, Ge Yin, Zheng Zhang, Bo Zhang, Wendong Wang · 2025 · International Joint Conference on Neural Networks (IJCNN)
  12. Leveraging Artificial Intelligence to Transform Thoracic Radiology for Lung Nodules and Lung Cancer
    Geewon Lee, Hwan-ho Cho, Dong Young Jeong, Jong‐Hoon Kim, You Jin Oh, Sung Goo Park, Ho Yun Lee · 2025 · Journal of Thoracic Imaging
  13. Patients´ Perspectives on the Implementation of Artificial Intelligence in Radiological Diagnostics: a Focus Group Study (Preprint)
    Cornelia R. Karger · 2025
  14. Research on infiltration classification of GGN-type pulmonary nodules based on multiresolution 3D dual pathway compression excitation network and semisupervised clustering
    Can Liu, Buer Shun, Siyuan Tang, Jinliang Zhao, Yuxin Wang, Hongda Pan, Jingmin Cheng · 2025 · International Conference on Biomedical Imaging, Signal Processing (ICBSP)
  15. The intersection of artificial intelligence and lung nodule research: current applications and future prospects
    Linfeng Wang, JunHao Yu, Yue Luo, JiaYi Nie, XinYue Ge, Yue Li, Baojin Hua, Rui Liu · 2025 · International Journal of Surgery
  16. Role of Artificial Intelligence in Medical Imaging
    Harmanpreet Kaur, Gurwinder Singh · 2025 · Advances in computational intelligence and robotics book series
  17. 213Chapter 10 AI-driven advances in lung cancer care
    Rishabha Malviya, Shivam Rajput, Mukesh Roy, Sathvik Belagodu Sridhar, Sabin Thomas · 2025 · De Gruyter eBooks
  18. Patients’ Perspectives on the Implementation of AI in Radiological Diagnostics: Focus Group Study
    Cornelia R. Karger · 2026 · Journal of Medical Internet Research
  19. Quantitative Assessment of Lung Nodule: Deep Learning and Radiomics
    Eui Jin Hwang, Jin Mo Goo · 2026 · Springer eBooks
  20. Applications of Artificial Intelligence in Quantitative Imaging
    Raúl San Jośe Estépar, Ariel H. Curiale, Pietro Nardelli · 2026 · Springer eBooks
  21. Gradient Aware Attention Networks for Interpretable Chest X Ray Pathology Identification
    K Kodeeswari, D Aarthi, Prof. Dr. Bhupesh Goyal, K. Arulmozhiarasu, Hirald Dwaraka Praveena, Harishchander Anandaram · 2026 · International Conference on Expert Clouds and Applications (ICOECA)
  22. Evaluating the interpretation of neck CT/MRI scans by ChatGPT-4V for detecting primary oropharyngeal squamous cell carcinoma: An exploratory study
    Benedikt Schmidl, R Walter, Cosima C. Hoch, Tobias Hütten, Steffi Ulrike Pigorsch, Fabian Stögbauer, T Hussain, Barbara Wollenberg, Markus Wirth · 2026 · European Annals of Otorhinolaryngology Head and Neck Diseases
  23. Revolutionizing lung cancer screening: the rise of artificial intelligence integrating circulating tumor markers
    H W Li, Haoning Nan, Yafei Sun, Ming Zhao, Yonghui Qiu, Siyu Chen, Yuxing Wang · 2026 · World Journal of Surgical Oncology
  24. Artificial Intelligence Tools in Precision Lung Cancer Care: From Early Detection to Clinical Decision Support
    Christopher Ryan Grant, S. Patel, Tali Azenkot · 2026 · Cancers
  25. Current Implications and Future Directions of Artificial Intelligence in Surgery and Related Fields
    Dharmendra Kumar Pipal, Vibha Rani Pipal, Rajendra Kumar Pipal, Seema Yadav, Swati Prasad, Rajesh Kannan, Alan Phillip, B. Nikhil · 2026 · Springer eBooks
  26. Estimating Eligibility for Lung Cancer Screening in Ireland: A Dynamic Modelling Study of Smoking Trends
    Tatiana Pavlovna Bezdenezhnykh, James F. O’Mahony, Benjamin M. Jacob, Patrick Redmond · 2026 · PharmacoEconomics - Open
  27. Benchmarking of AI Software in Chest Radiography: Opportunities and Challenges
    Cornelia M. Schaefer‐Prokop, Steven Schalekamp · 2026 · Radiology
  28. Effect of Irreversible Compression on the Pulmonary Nodule Detection Rate in Chest Radiographs Using AI Software
    Masasuke Kohzai, Shintaro Yamamoto, Mika Matsushita, Yutaka Ueno, Noboru Tanigawa · 2026 · Diagnostics
  29. Appendix300: Surgical video and patient metadata of 330 laparoscopic appendectomy cases from five institutions
    Fiona R. Kolbinger, Max Kirchner, Kevin Pfeiffer, Sebastian Bodenstedt, Alexander C. Jenke, Julia Barthel, Matthias Carstens, Karolin Dehlke, Sophia Dietz, Sotirios Emmanouilidis et al. · 2026 · Scientific Data
  30. AI-Driven Preoperative Chest Radiograph Analysis for Prognostic Stratification in Surgically Resected Pathological Stage 1 Non-Small Cell Lung Cancer
    Hyun Joo Shin, Eun Hye Lee, Se Hyun Kwak, Na Young Kim, E J Kim, Young Joo Suh · 2026 · Journal of Imaging Informatics in Medicine
  31. A Balanced Dual-Attention U-Net Architecture for Accurate Pulmonary Nodule Detection
    Gayathri P., Sudeep Dadheech, Akula Venkateswara Vara Prasad, Reuben Skariah Rengith · 2026 · Procedia Computer Science
  32. Pulmonary nodule prediction in the multi-omics era: Integrating radiomics, AI, liquid biopsy, and airway classifiers
    Y Li, Guanyu Lu, X Liu, J J Lu, Wei Song, Jiuwei Cui · 2026 · Critical Reviews in Oncology/Hematology
  33. Chest Radiography AI Concordance and Lung Cancer Linkage in a Large Health Check-up Cohort
    Yu Fujita, Susumu Saito, Shigehiro Yagishita, Jun Araya, Ryo Nakagawa · 2026 · medRxiv
  34. Evaluating AI-assisted detection of fetal intracranial malformations in prenatal ultrasound practice: a multicentre, self-crossover, randomised controlled trial in China
    Ting Lei, Ning Shang, Baihong Xie, Yingchun Luo, HongYu Zheng, HeZhou Li, Chaoxue Zhang, Nan Wang, Qian Zhou, Hongning Xie · 2026 · The Lancet Digital Health
  35. Republication de : Evaluating the interpretation of Neck CT/MRI scans by ChatGPT-4V for detecting primary oropharyngeal squamous cell carcinoma: An exploratory study
    Benedikt Schmidl, R. Walter, Cosima C. Hoch, Tobias Hütten, Steffi Ulrike Pigorsch, Fabian Stögbauer, T. Hussain, Barbara Wollenberg, M. Wirth · 2026 · Annales françaises d Oto-rhino-laryngologie et de Pathologie Cervico-faciale
  36. IARC Perspective on Lung Cancer Screening
    Luciana Neamţiu, Matthew E.J. Callister, Philip A.J. Crosbie, Stephen C. Lam, Vivienne Milch, Daniela Mariosa, Xiaoshuang Feng, Roya Dolatkhah, Ali Saeed Al Zahrani, Zhandos Amankulov et al. · 2026 · New England Journal of Medicine
  37. CT-Referenced Diagnostic Performance and Complementary Error Patterns of Artificial Intelligence Versus a Single Emergency Physician in Chest Radiograph Interpretation: A Retrospective Paired Diagnostic Accuracy Study
    Ömer Damar, Mahmut Yaman · 2026 · Tomography
  38. From lesion-level non-inferiority to screening-level substitution
    Alexander Reyes Lobo · 2026 · Japanese Journal of Radiology
  39. Pulmonary nodules: classification, biomarkers, signaling pathways, diseases, early diagnosis and management
    Zhuomiao Ye, Lijun Li, Minghui Zhang, Wei Su, Xin Li, Shoaib Anwaar, Mingyu Xiang, Yulong Yin, Mei Liu, Mingzhu Yin · 2026 · Signal Transduction and Targeted Therapy
  40. AI in Healthcare and Biotechnology
    Yuxuan Fan, Weiwei Wang, Lian Fang, Rajib Shaw · 2026 · Springer eBooks
  41. Artificial intelligence and telemedicine in healthcare settings
    Sultan Ayoub Meo · 2026 · Elsevier eBooks