AIMC Journal:
Radiology

Showing 271 to 280 of 374 articles

A Deep Learning Model for Three-Dimensional Determination of Whole Thoracic Vertebral Bone Mineral Density from Noncontrast Chest CT: The Multi-Ethnic Study of Atherosclerosis.

Radiology Mar 1, 2025
Background Recent studies have investigated how deep learning (DL) algorithms applied to CT using two-dimensional (2D) segmentation (sagittal or axial planes) can calculate bone mineral density (BMD) and predict osteoporosis-related outcomes. Purpose...
Humans Prospective Studies Bone Density Middle Aged Deep Learning Imaging, Three-Dimensional Thoracic Vertebrae Radiographic Image Interpretation, Computer-Assisted Atherosclerosis Aged Aged, 80 and over Male Osteoporosis Tomography, X-Ray Computed Female
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Two-Stage Deep Learning Model for Adrenal Nodule Detection on CT Images: A Retrospective Study.

Radiology Mar 1, 2025
Background The detection and classification of adrenal nodules are crucial for their management. Purpose To develop and test a deep learning model to automatically depict adrenal nodules on abdominal CT images and to simulate triaging performance in ...
Female Aged Adult Humans Male Adrenal Gland Neoplasms Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Middle Aged Tomography, X-Ray Computed Adrenal Glands Deep Learning
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AI Applications for Thoracic Imaging: Considerations for Best Practice.

Radiology Feb 1, 2025
Artificial intelligence (AI) technology is rapidly being introduced into thoracic radiology practice. Current representative use cases for AI in thoracic imaging show cumulative evidence of effectiveness. These include AI assistance for reading chest...
Lung Neoplasms Radiography, Thoracic Humans Artificial Intelligence Tomography, X-Ray Computed
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Assessing Completeness of Clinical Histories Accompanying Imaging Orders Using Adapted Open-Source and Closed-Source Large Language Models.

Radiology Feb 1, 2025
Background Incomplete clinical histories are a well-known problem in radiology. Previous dedicated quality improvement efforts focusing on reproducible assessments of the completeness of free-text clinical histories have relied on tedious manual anal...
Humans Retrospective Studies Natural Language Processing Diagnostic Imaging Large Language Models Quality Improvement Medical History Taking Radiology Information Systems
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Arthroscopy-validated Diagnostic Performance of 7-Minute Five-Sequence Deep Learning Super-Resolution 3-T Shoulder MRI.

Radiology Feb 1, 2025
Background Deep learning (DL) methods enable faster shoulder MRI than conventional methods, but arthroscopy-validated evidence of good diagnostic performance is scarce. Purpose To validate the clinical efficacy of 7-minute threefold parallel imaging ...
Female Deep Learning Shoulder Joint Reproducibility of Results Magnetic Resonance Imaging Aged Arthroscopy Adult Humans Male Retrospective Studies Middle Aged
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Foundation Models in Radiology: What, How, Why, and Why Not.

Radiology Feb 1, 2025
Recent advances in artificial intelligence have witnessed the emergence of large-scale deep learning models capable of interpreting and generating both textual and imaging data. Such models, typically referred to as foundation models (FMs), are train...
Deep Learning Radiology Humans Artificial Intelligence
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Using AI to Select Women with Intermediate Breast Cancer Risk for Breast Screening with MRI.

Radiology Feb 1, 2025
Background Combined mammography and MRI screening is not universally accessible for women with intermediate breast cancer risk due to limited MRI resources. Selecting women for MRI by assessing their mammogram may enable more resource-effective scree...
Middle Aged Risk Assessment Magnetic Resonance Imaging Aged Adult Breast Neoplasms Early Detection of Cancer Mammography Breast Humans Artificial Intelligence Retrospective Studies Female
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Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA.

Radiology Jan 1, 2025
Artificial intelligence (AI) offers promising solutions for many steps of the cardiac imaging workflow, from patient and test selection through image acquisition, reconstruction, and interpretation, extending to prognostication and reporting. Despite...
Societies, Medical Cardiac Imaging Techniques Tomography, X-Ray Computed Humans Magnetic Resonance Imaging Artificial Intelligence Heart
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Deep Learning Superresolution for Simultaneous Multislice Parallel Imaging-Accelerated Knee MRI Using Arthroscopy Validation.

Radiology Jan 1, 2025
Background Deep learning (DL) methods can improve accelerated MRI but require validation against an independent reference standard to ensure robustness and accuracy. Purpose To validate the diagnostic performance of twofold-simultaneous-multislice (S...
Humans Deep Learning Magnetic Resonance Imaging Prospective Studies Knee Joint Female Adult Reproducibility of Results Male Middle Aged Arthroscopy Knee Injuries
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Automated Deep Learning-Based Detection and Segmentation of Lung Tumors at CT.

Radiology Jan 1, 2025
Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer progression, evaluating treatment responses, and planning radiation therapy; however, manual delineation is labor-intensive and subject to physician ...
Deep Learning Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Humans Tomography, X-Ray Computed Lung
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