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January 14, 2026
Improving Automated ILD Assessment in Systemic Sclerosis Using Next-Generation CT
Automated lung texture analysis for assessing interstitial lung disease in systemic sclerosis: Diagnostic accuracy in photon-counting-detector and conventional energy-integrating-detector CTEuropean...
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January 14, 2026
Assessing Deep Learning Performance for Cobb Angle Measurement in AIS
Performance of a deep learning-based algorithm for automated measurements of Cobb angles on preoperative spine radiographs in adolescent idiopathic scoliosisSpringer Nature,...
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January 14, 2026
Identifying High-Confidence AI Operating Points for Breast Cancer Detection
Operating Point Optimization for Efficient Mammogram Triage Using Only Highly Elevated Probability scoresScience Direct, Elsevier, 2025AbstractBackgroudUsing AI breast cancer detection scores to...
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January 8, 2026
Using AI to Improve Pediatric Fracture Diagnosis in Everyday Radiology Practice
Enhancing Pediatric Fracture Detection: Multicenter Evaluation of a Deep Learning AI Model and Its Impact on Radiologist PerformanceAcademic Radiology, 2025AbstractRationale and ObjectivesThis study...
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January 8, 2026
AI Decision Support in Stroke Care: From Image Interpretation to Treatment
Artificial intelligence imaging decision support for acute stroke treatment in England: a prospective observational studyThe Lancet, Digital Health, 2025SummaryBackgroundEndovascular thrombectomy is...
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January 8, 2026
Evaluating Synthetic CT from MRI for Calcified Intradural Tumors
Evaluation of magnetic resonance imaging and deep learning-based synthetic computed tomography for calcified intradural tumors – importance of domain-specific training and validation of synthetic...
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January 8, 2026
Assessing an AI Triage System for Mammography Cases Referred to Biopsy
Performance of an Artificial Intelligence Support System on Screening Mammography Cases Proceeding to Stereotactic BiopsyMDPI, 2025AbstractBackground/Objective: The objective was to evaluate the...
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January 8, 2026
Evaluating AI Performance for Tuberculosis Detection on Digital and Analog Chest X-Rays
Comparing deep learning models for tuberculosis detection: A retrospective study of digital vs. analog chest radiographsIndian Journal of Tuberculosis, Elsevier, 2025AbstractPurposeChest X-ray (CXR)...
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January 7, 2026
Smarter PET Imaging: Deep Learning Denoising in Real-World Practice
Low-count whole-body PET denoising with deep learning in a multicenter, multi-tracer and externally validated studyEuropean Journal of Nuclear Medicine and Molecular Imaging, Springer Nature,...
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January 7, 2026
AI-Supported MRI Interpretation Enhances Lesion Detection in Multiple Sclerosis
Artificial intelligence in the detection of multiple sclerosis plaques: Can it influence the treatment decision?Journal of Neuroradiology, Elsevier, 2025AbstractBackground and purposeTo monitor...
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January 7, 2026
Predicting Knee Replacement in Osteoarthritis with AI-Powered MRI Analysis
Combining Machine-Learning Assessment of Multiple MRI Pathologies and Clinical Phenotypes for Predicting Joint Replacement in Knee Osteoarthritis: Data From the Osteoarthritis InitiativeSage...
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January 7, 2026
Assessing Bone Health in Adolescents with Chronic Endocrine Disease
Bone Health Index (BoneXpert) and parameters of peripheral quantitative computed tomography indicate overall adequate bone health in adolescents with chronic endocrine diseases at time of...
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