AIMC Topic: Artificial Intelligence

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Big Data and Radiology Research.

Journal of the American College of Radiology : JACR Sep 1, 2019
Our understanding of human health may be significantly enhanced in the near future because of the unprecedented volume of digitized health care data and the availability of artificial intelligence to mine these data for correlations that could drive ...
Algorithms Male National Institutes of Health (U.S.) Big Data Forecasting United States Female Humans Artificial Intelligence Machine Learning Radiology Quality Improvement
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A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence-Powered Ultrasound for Improving Clinical Workflow.

Journal of the American College of Radiology : JACR Sep 1, 2019
Ultrasound is the most commonly used imaging modality in clinical practice because it is a nonionizing, low-cost, and portable point-of-care imaging tool that provides real-time images. Artificial intelligence (AI)-powered ultrasound is becoming more...
Ultrasonography, Doppler, Color Female Breast Neoplasms Humans Male Deep Learning Artificial Intelligence Liver Neoplasms Algorithms Surveys and Questionnaires Workflow United States Forecasting Thyroid Neoplasms Quality Improvement
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Artificial Intelligence in Imaging: The Radiologist's Role.

Journal of the American College of Radiology : JACR Sep 1, 2019
Rapid technological advancements in artificial intelligence (AI) methods have fueled explosive growth in decision tools being marketed by a rapidly growing number of companies. AI developments are being driven largely by computer scientists, informat...
ROC Curve Image Processing, Computer-Assisted Radiology Practice Patterns, Physicians' Radiologists Role Algorithms Sensitivity and Specificity Deep Learning Humans Artificial Intelligence
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Radiology-Pathology Correlation to Facilitate Peer Learning: An Overview Including Recent Artificial Intelligence Methods.

Journal of the American College of Radiology : JACR Sep 1, 2019
Correlation of pathology reports with radiology examinations has long been of interest to radiologists and helps to facilitate peer learning. Such correlation also helps meet regulatory requirements, ensures quality, and supports multidisciplinary co...
Humans Quality Improvement Immunohistochemistry Biopsy, Needle Deep Learning Artificial Intelligence Magnetic Resonance Imaging Female Radiology Male Prostatic Neoplasms
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The Role of Generative Adversarial Networks in Radiation Reduction and Artifact Correction in Medical Imaging.

Journal of the American College of Radiology : JACR Sep 1, 2019
Adversarial networks were developed to complete powerful image-processing tasks on the basis of example images provided to train the networks. These networks are relatively new in the field of deep learning and have proved to have unique strengths th...
Radiation Exposure Diagnostic Imaging Positron-Emission Tomography Artifacts Tomography, X-Ray Computed Deep Learning Magnetic Resonance Imaging Forecasting Humans Patient Safety Artificial Intelligence
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Using Artificial Intelligence to Improve the Quality and Safety of Radiation Therapy.

Journal of the American College of Radiology : JACR Sep 1, 2019
Within artificial intelligence, machine learning (ML) efforts in radiation oncology have augmented the transition from generalized to personalized treatment delivery. Although their impact on quality and safety of radiation therapy has been limited, ...
Quality Improvement Radiotherapy Dosage Radiotherapy Safety Management Quality Control Radiotherapy Planning, Computer-Assisted Humans Artificial Intelligence Forecasting Radiation Oncology Machine Learning Algorithms
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The Application of Machine Learning to Quality Improvement Through the Lens of the Radiology Value Network.

Journal of the American College of Radiology : JACR Sep 1, 2019
Recent advances in machine learning and artificial intelligence offer promising applications to radiology quality improvement initiatives as they relate to the radiology value network. Coordination within the interlocking web of systems, events, and ...
Algorithms Forecasting Radiology Workflow Humans Artificial Intelligence Machine Learning Data Collection Quality Improvement Automation
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Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology.

Journal of the American College of Radiology : JACR Sep 1, 2019
Currently, the use of artificial intelligence (AI) in radiology, particularly machine learning (ML), has become a reality in clinical practice. Since the end of the last century, several ML algorithms have been introduced for a wide range of common i...
Algorithms Data Collection Forecasting Female Health Care Sector Radiology Humans Workflow Artificial Intelligence Male Machine Learning Printing, Three-Dimensional
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Artificial Intelligence in Nuclear Medicine.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Sep 1, 2019
Despite the great media attention for artificial intelligence (AI), for many health care professionals the term and the functioning of AI remain a "black box," leading to exaggerated expectations on the one hand and unfounded fears on the other. In t...
Artificial Intelligence Machine Learning Radionuclide Imaging Deep Learning Humans Nuclear Medicine Diagnostic Imaging
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[Application prospect of artificial intelligence technology in vestibular disorders].

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery Sep 1, 2019
Vestibular disorders are a group of disorders that may result from damage to peripheral or central vestibular system, which seriously affect the patients' lives and work and even life-threatened. The causes of most vestibular disorders are still unc...
Artificial Intelligence Diagnosis, Computer-Assisted Vestibular Diseases Vertigo Humans
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