AIMC Journal:
Radiology
Showing 341 to 350 of 374 articles
Coarse Race and Ethnicity Labels Mask Granular Underdiagnosis Disparities in Deep Learning Models for Chest Radiograph Diagnosis.
Radiology
Nov 1, 2023
See also the editorial by Nikolic in this issue.
Deep Learning for Automated Triaging of Stable Chest Radiographs in a Follow-up Setting.
Radiology
Oct 1, 2023
Background Most artificial intelligence algorithms that interpret chest radiographs are restricted to an image from a single time point. However, in clinical practice, multiple radiographs are used for longitudinal follow-up, especially in intensive ...
Milestones in CT: Past, Present, and Future.
Radiology
Oct 1, 2023
In 1971, the first patient CT examination by Ambrose and Hounsfield paved the way for not only volumetric imaging of the brain but of the entire body. From the initial 5-minute scan for a 180° rotation to today's 0.24-second scan for a 360° rotation,...
MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum.
Radiology
Oct 1, 2023
Background PET can be used for amyloid-tau-neurodegeneration (ATN) classification in Alzheimer disease, but incurs considerable cost and exposure to ionizing radiation. MRI currently has limited use in characterizing ATN status. Deep learning techniq...
Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis.
Radiology
Oct 1, 2023
Background Screening for nonalcoholic fatty liver disease (NAFLD) is suboptimal due to the subjective interpretation of US images. Purpose To evaluate the agreement and diagnostic performance of radiologists and a deep learning model in grading hepat...
Prospective Evaluation of AI Triage of Pulmonary Emboli on CT Pulmonary Angiograms.
Radiology
Oct 1, 2023
Background Artificial intelligence (AI) algorithms have shown high accuracy for detection of pulmonary embolism (PE) on CT pulmonary angiography (CTPA) studies in academic studies. Purpose To determine whether use of an AI triage system to detect PE ...
Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers.
Radiology
Oct 1, 2023
Background Clinicians consider both imaging and nonimaging data when diagnosing diseases; however, current machine learning approaches primarily consider data from a single modality. Purpose To develop a neural network architecture capable of integra...
Deep Learning Super-Resolution Reconstruction for Fast and Motion-Robust T2-weighted Prostate MRI.
Radiology
Sep 1, 2023
Background Deep learning (DL) reconstructions can enhance image quality while decreasing MRI acquisition time. However, DL reconstruction methods combined with compressed sensing for prostate MRI have not been well studied. Purpose To use an industry...
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