AIMC Journal:
Academic radiology

Showing 191 to 200 of 317 articles

Optimizing Deep Learning for Cardiac MRI Segmentation: The Impact of Automated Slice Range Classification.

Academic radiology Aug 3, 2023
RATIONALE AND OBJECTIVES: Cardiac magnetic resonance imaging is crucial for diagnosing cardiovascular diseases, but lengthy postprocessing and manual segmentation can lead to observer bias. Deep learning (DL) has been proposed for automated cardiac s...
Humans Heart Heart Ventricles Magnetic Resonance Imaging, Cine Deep Learning Magnetic Resonance Imaging Myocardium
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Deep Learning-Based CT Reconstruction Kernel Conversion in the Quantification of Interstitial Lung Disease: Effect on Reproducibility.

Academic radiology Jul 27, 2023
RATIONALE AND OBJECTIVES: The effect of different computed tomography (CT) reconstruction kernels on the quantification of interstitial lung disease (ILD) has not been clearly demonstrated. The study aimed to investigate the effect of reconstruction ...
Reproducibility of Results Lung Deep Learning Lung Diseases, Interstitial Humans Retrospective Studies Tomography, X-Ray Computed
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Shortening Acquisition Time and Improving Image Quality for Pelvic MRI Using Deep Learning Reconstruction for Diffusion-Weighted Imaging at 1.5 T.

Academic radiology Jul 25, 2023
RATIONALE AND OBJECTIVES: To determine the impact on acquisition time reduction and image quality of a deep learning (DL) reconstruction for accelerated diffusion-weighted imaging (DWI) of the pelvis at 1.5 T compared to standard DWI.
Humans Retrospective Studies Deep Learning Magnetic Resonance Imaging Pelvis Artifacts Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Aged Male Female Middle Aged Reproducibility of Results
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A CT-based Deep Learning Radiomics Nomogram for the Prediction of EGFR Mutation Status in Head and Neck Squamous Cell Carcinoma.

Academic radiology Jul 21, 2023
RATIONALE AND OBJECTIVES: Accurately assessing epidermal growth factor receptor (EGFR) mutation status in head and neck squamous cell carcinoma (HNSCC) patients is crucial for prognosis and treatment selection. This study aimed to construct and valid...
Nomograms Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Mutation ErbB Receptors Tomography, X-Ray Computed Radiomics Deep Learning Humans Retrospective Studies
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Artificial Intelligence for Detecting Acute Fractures in Patients Admitted to an Emergency Department: Real-Life Performance of Three Commercial Algorithms.

Academic radiology Jul 18, 2023
RATIONALE AND OBJECTIVES: Interpreting radiographs in emergency settings is stressful and a burden for radiologists. The main objective was to assess the performance of three commercially available artificial intelligence (AI) algorithms for detectin...
Retrospective Studies Female Young Adult Artificial Intelligence Algorithms Fractures, Bone Lower Extremity Emergency Service, Hospital Adult Male Middle Aged Humans
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Generalizability of Deep Learning Classification of Spinal Osteoporotic Compression Fractures on Radiographs Using an Adaptation of the Modified-2 Algorithm-Based Qualitative Criteria.

Academic radiology Jul 10, 2023
RATIONALE AND OBJECTIVES: Spinal osteoporotic compression fractures (OCFs) can be an early biomarker for osteoporosis but are often subtle, incidental, and underreported. To ensure early diagnosis and treatment of osteoporosis, we aimed to build a de...
Male Bone Density Humans Spinal Fractures Deep Learning Retrospective Studies Algorithms Fractures, Compression Lumbar Vertebrae Osteoporosis
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Deep Learning-Based Fully Automated Segmentation of Regional Muscle Volume and Spatial Intermuscular Fat Using CT.

Academic radiology Jul 8, 2023
RATIONALE AND OBJECTIVES: We aim to develop a CT-based deep learning (DL) system for fully automatic segmentation of regional muscle volume and measurement of the spatial intermuscular fat distribution of the gluteus maximus muscle.
Image Processing, Computer-Assisted Muscle, Skeletal Humans Tomography, X-Ray Computed Deep Learning
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Radiology as a Specialty in the Era of Artificial Intelligence: A Systematic Review and Meta-analysis on Medical Students, Radiology Trainees, and Radiologists.

Academic radiology Jun 21, 2023
RATIONALE AND OBJECTIVES: Artificial intelligence (AI) is changing radiology by automating tasks and assisting in abnormality detection and understanding perceptions of medical students, radiology trainees, and radiologists is vital for preparing the...
Radiologists Forecasting Students, Medical Humans Radiology Artificial Intelligence
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Predicting Neoadjuvant Chemotherapy Response and High-Grade Serous Ovarian Cancer From CT Images in Ovarian Cancer with Multitask Deep Learning: A Multicenter Study.

Academic radiology Jun 17, 2023
RATIONALE AND OBJECTIVES: Accurate prediction neoadjuvant chemotherapy (NACT) response in ovarian cancer (OC) is essential for personalized medicine. We aimed to develop and validate a deep learning (DL) model based on pretreatment contrast-enhanced ...
Ovarian Neoplasms Deep Learning Neoadjuvant Therapy Humans Retrospective Studies Prospective Studies Tomography, X-Ray Computed Female
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Deep Learning Accelerated Image Reconstruction of Fluid-Attenuated Inversion Recovery Sequence in Brain Imaging: Reduction of Acquisition Time and Improvement of Image Quality.

Academic radiology Jun 4, 2023
RATIONALE AND OBJECTIVES: Fluid-attenuated inversion recovery (FLAIR) imaging is playing an increasingly significant role in the detection of brain metastases with a concomitant increase in the number of magnetic resonance imaging (MRI) examinations....
Humans Brain Magnetic Resonance Imaging Middle Aged Retrospective Studies Artifacts Deep Learning Aged Image Processing, Computer-Assisted Brain Neoplasms
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