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  • 1-10 ل  3,582 نتائج ل ""Radiography, Thoracic""

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Academic Journal

Evaluation of an ultra-portable X-ray system with automated interpretation for tuberculosis active case finding in carceral settings: a diagnostic test accuracy study.

  • Authors : Salindri AD; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, United States of America. .; Bampi JVB

Subjects: Tuberculosis*/Tuberculosis*/Tuberculosis*/diagnostic imaging ; Tuberculosis*/Tuberculosis*/Tuberculosis*/diagnosis ; Tuberculosis*/Tuberculosis*/Tuberculosis*/epidemiology

  • Source: BMC infectious diseases [BMC Infect Dis] 2025 Nov 03; Vol. 25 (1), pp. 1480. Date of Electronic Publication: 2025 Nov 03.Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334

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Academic Journal

A deep learning AI model for determining the relationship between X-Ray detectors and patient positioning in chest radiography.

  • Authors : Jiang B; Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.; Hu J

Subjects: Deep Learning* ; Radiography, Thoracic*/Radiography, Thoracic*/Radiography, Thoracic*/methods ; Radiography, Thoracic*/Radiography, Thoracic*/Radiography, Thoracic*/instrumentation

  • Source: PloS one [PLoS One] 2025 Oct 13; Vol. 20 (10), pp. e0333209. Date of Electronic Publication: 2025 Oct 13 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Artificial intelligence improves detection and classification of pulmonary venous hypertension related to left ventricular diastolic dysfunction by chest radiography.

  • Authors : White RD; Division of Augmented Intelligence in Imaging, Mayo Clinic Florida, Jacksonville, FL, USA. .; Division of Cardiothoracic Imaging, Department of Radiology, Mayo Clinic Florida, Jacksonville, FL, USA. .

Subjects: Ventricular Dysfunction, Left*/Ventricular Dysfunction, Left*/Ventricular Dysfunction, Left*/diagnostic imaging ; Ventricular Dysfunction, Left*/Ventricular Dysfunction, Left*/Ventricular Dysfunction, Left*/complications ; Artificial Intelligence*

  • Source: Scientific reports [Sci Rep] 2025 Oct 31; Vol. 15 (1), pp. 38181. Date of Electronic Publication: 2025 Oct 31.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Assessment of a Grad-CAM interpretable deep learning model for HAPE diagnosis: performance and pitfalls in severity stratification from chest radiographs.

  • Authors : Yang Y; Department of Radiology, Chinese People's Liberation Army The General Hospital of Western Theater Command, No. 270, Tianhui Road, Rongdu Avenue, Jinniu District, Chengdu, Sichuan Province, 610083, China.; Yu H

Subjects: Deep Learning* ; Radiography, Thoracic* ; Radiographic Image Interpretation, Computer-Assisted*/Radiographic Image Interpretation, Computer-Assisted*/Radiographic Image Interpretation, Computer-Assisted*/methods Pulmonary edema of mountaineers

  • Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Oct 30; Vol. 25 (1), pp. 402. Date of Electronic Publication: 2025 Oct 30.Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947

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Academic Journal

YOLOv11-MFF: A multi-scale frequency-adaptive fusion network for enhanced CXR anomaly detection.

  • Authors : Guan L; Department of Smart Manufacturing, Industrial Perception and Intelligent Manufacturing Equipment Engineering Research Center of Jiangsu Province, Nanjing Vocational University of Industry Technology, Nanjing, Jiangsu, China.; Zhang R

Subjects: Radiography, Thoracic*/Radiography, Thoracic*/Radiography, Thoracic*/methods ; Radiographic Image Interpretation, Computer-Assisted*/Radiographic Image Interpretation, Computer-Assisted*/Radiographic Image Interpretation, Computer-Assisted*/methods ; Neural Networks, Computer*

  • Source: PloS one [PLoS One] 2025 Oct 24; Vol. 20 (10), pp. e0334283. Date of Electronic Publication: 2025 Oct 24 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

New frontiers in radiologic interpretation: evaluating the effectiveness of large language models in pneumothorax diagnosis.

  • Authors : Bulut B; Department of Emergency Medicine, Ankara Gulhane Training and Research Hospital, Health Science University, Ankara, Turkey.; Öz MA

Subjects: Pneumothorax*/Pneumothorax*/Pneumothorax*/diagnostic imaging ; Pneumothorax*/Pneumothorax*/Pneumothorax*/diagnosis ; Radiography, Thoracic*/Radiography, Thoracic*/Radiography, Thoracic*/methods

  • Source: PloS one [PLoS One] 2025 Sep 12; Vol. 20 (9), pp. e0331962. Date of Electronic Publication: 2025 Sep 12 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

LMeRAN: Label Masking-Enhanced Residual Attention Network for Multi-Label Chest X-Ray Disease Aided Diagnosis.

  • Authors : Fu H; School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China.; Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 100083, China.

Subjects: Radiography, Thoracic*/Radiography, Thoracic*/Radiography, Thoracic*/methods ; Diagnosis, Computer-Assisted*/Diagnosis, Computer-Assisted*/Diagnosis, Computer-Assisted*/methods ; Radiographic Image Interpretation, Computer-Assisted*/Radiographic Image Interpretation, Computer-Assisted*/Radiographic Image Interpretation, Computer-Assisted*/methods

  • Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Sep 11; Vol. 25 (18). Date of Electronic Publication: 2025 Sep 11.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Academic Journal

CXR-MultiTaskNet a unified deep learning framework for joint disease localization and classification in chest radiographs.

  • Authors : Reddy KD; Research Scholar, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Aziz Nagar, Hyderabad, Telangana, 500075, India. .; Patil A

Subjects: Deep Learning* ; Radiography, Thoracic*/Radiography, Thoracic*/Radiography, Thoracic*/methods ; Radiographic Image Interpretation, Computer-Assisted*/Radiographic Image Interpretation, Computer-Assisted*/Radiographic Image Interpretation, Computer-Assisted*/methods

  • Source: Scientific reports [Sci Rep] 2025 Aug 31; Vol. 15 (1), pp. 32022. Date of Electronic Publication: 2025 Aug 31.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

High-energy X-ray phase-contrast CT of an adult human chest phantom.

  • Authors : Ahlers JN; School of Physics and Astronomy, Monash University, 3800, Clayton, VIC, Australia. .; D Amico L

Subjects: Phantoms, Imaging* ; Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/methods ; Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/instrumentation

  • Source: Scientific reports [Sci Rep] 2025 Aug 11; Vol. 15 (1), pp. 29314. Date of Electronic Publication: 2025 Aug 11.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Pulmonary diseases accurate recognition using adaptive multiscale feature fusion in chest radiography.

  • Authors : Zhou M; School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, 232001, Anhui, China.; Gao L

Subjects: Radiography, Thoracic*/Radiography, Thoracic*/Radiography, Thoracic*/methods ; Lung Diseases*/Lung Diseases*/Lung Diseases*/diagnostic imaging ; Radiographic Image Interpretation, Computer-Assisted*/Radiographic Image Interpretation, Computer-Assisted*/Radiographic Image Interpretation, Computer-Assisted*/methods

  • Source: Scientific reports [Sci Rep] 2025 Aug 10; Vol. 15 (1), pp. 29243. Date of Electronic Publication: 2025 Aug 10.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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  • 1-10 ل  3,582 نتائج ل ""Radiography, Thoracic""