AIMC Journal:
Academic radiology

Showing 261 to 270 of 317 articles

Pneumonia Detection in Chest X-Ray Dose-Equivalent CT: Impact of Dose Reduction on Detectability by Artificial Intelligence.

Academic radiology Jul 1, 2020
RATIONALE AND OBJECTIVES: There has been a significant increase of immunocompromised patients in recent years due to new treatment modalities for previously fatal diseases. This comes at the cost of an elevated risk for infectious diseases, most nota...
Retrospective Studies Tomography, X-Ray Computed Artificial Intelligence Algorithms Pneumonia X-Rays Drug Tapering Deep Learning Multiple Pulmonary Nodules Humans
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Attitudes Toward Artificial Intelligence Among Radiologists, IT Specialists, and Industry.

Academic radiology May 13, 2020
OBJECTIVES: We investigated the attitudes of radiologists, information technology (IT) specialists, and industry representatives on artificial intelligence (AI) and its future impact on radiological work.
Artificial Intelligence Radiology Radiologists Humans Information Technology Specialization
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Artificial Intelligence and the Role of Radiologists.

Academic radiology May 6, 2020
Humans Machine Learning Radiologists Artificial Intelligence Tomography, X-Ray Computed
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Utility of Artificial Intelligence Tool as a Prospective Radiology Peer Reviewer - Detection of Unreported Intracranial Hemorrhage.

Academic radiology Feb 24, 2020
RATIONALE AND OBJECTIVES: Misdiagnosis of intracranial hemorrhage (ICH) can adversely impact patient outcomes. The increasing workload on the radiologists may increase the chance of error and compromise the quality of care provided by the radiologist...
Retrospective Studies Radiology Artificial Intelligence Prospective Studies Intracranial Hemorrhages Humans
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External Validation of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical Practice.

Academic radiology Feb 20, 2020
RATIONALE AND OBJECTIVES: Federal legislation requires patient notification of dense mammographic breast tissue because increased density is a marker of breast cancer risk and can limit the sensitivity of mammography. As previously described, we clin...
Humans Breast Deep Learning Breast Density Breast Neoplasms Mammography
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Noninterpretive Uses of Artificial Intelligence in Radiology.

Academic radiology Feb 12, 2020
We deem a computer to exhibit artificial intelligence (AI) when it performs a task that would normally require intelligent action by a human. Much of the recent excitement about AI in the medical literature has revolved around the ability of AI model...
Radiography Radiology Radiologists Humans Artificial Intelligence
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Deep Learning Features Improve the Performance of a Radiomics Signature for Predicting KRAS Status in Patients with Colorectal Cancer.

Academic radiology Jan 23, 2020
RATIONALE AND OBJECTIVES: We assess the performance of a model combining a deep convolutional neural network and a hand-crafted radiomics signature for predicting KRAS status in patients with colorectal cancer (CRC).
Colorectal Neoplasms Deep Learning Proto-Oncogene Proteins p21(ras) Algorithms Tomography, X-Ray Computed Humans
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Improving Low-contrast Detectability and Noise Texture Pattern for Computed Tomography Using Iterative Reconstruction Accelerated with Machine Learning Method: A Phantom Study.

Academic radiology Jan 7, 2020
RATIONALE AND OBJECTIVES: To evaluate the performance of iterative reconstruction (IR) and filtered back projection (FBP) images in terms of low-contrast detectability at different radiation doses, IR levels, and slice thickness using the mathematica...
Machine Learning Phantoms, Imaging Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Algorithms Tomography, X-Ray Computed
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Assessment of Radiomics and Deep Learning for the Segmentation of Fetal and Maternal Anatomy in Magnetic Resonance Imaging and Ultrasound.

Academic radiology Dec 24, 2019
Recent advances in fetal imaging open the door to enhanced detection of fetal disorders and computer-assisted surgical planning. However, precise segmentation of womb's tissues is challenging due to motion artifacts caused by fetal movements and mate...
Ultrasonography Imaging, Three-Dimensional Magnetic Resonance Imaging Prenatal Diagnosis Female Deep Learning Humans Pregnancy
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Impact of Deep Learning-based Optimization Algorithm on Image Quality of Low-dose Coronary CT Angiography with Noise Reduction: A Prospective Study.

Academic radiology Dec 19, 2019
RATIONALE AND OBJECTIVES: To evaluate deep learning (DL)-based optimization algorithm for low-dose coronary CT angiography (CCTA) image noise reduction and image quality (IQ) improvement.
Computed Tomography Angiography Prospective Studies Deep Learning Humans Algorithms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Contrast Media Coronary Angiography
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