AIMC Topic: Radiologists

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Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence.

Academic radiology Jan 1, 2020
RATIONALE AND OBJECTIVES: Our primary aim was to improve radiology reports by increasing concordance of target lesion measurements with oncology records using radiology preprocessors (RP). Faster notification of incidental actionable findings to refe...
Humans Radiologists Workflow Artificial Intelligence Prospective Studies Radiology
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School of Block-Review of Blockchain for the Radiologists.

Academic radiology Jan 1, 2020
Blockchain, the underlying technology for Bitcoin, is a distributed digital ledger technology that enables record verification by many independent parties rather than a centralized authority, therefore making it more difficult to tamper with the data...
Humans Radiologists Artificial Intelligence Computer Security Delivery of Health Care Radiology Blockchain
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The Algorithmic Audit: Working with Vendors to Validate Radiology-AI Algorithms-How We Do It.

Academic radiology Jan 1, 2020
There is a plethora of Artificial Intelligence (AI) tools that are being developed around the world aiming at either speeding up or improving the accuracy of radiologists. It is essential for radiologists to work with the developers of such algorithm...
Radiography Radiology Radiologists Humans Artificial Intelligence Algorithms
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Artificial Intelligence in Radiology: Some Ethical Considerations for Radiologists and Algorithm Developers.

Academic radiology Jan 1, 2020
As artificial intelligence (AI) is finding its place in radiology, it is important to consider how to guide the research and clinical implementation in a way that will be most beneficial to patients. Although there are multiple aspects of this issue,...
Forecasting Radiology Radiologists Humans Artificial Intelligence Algorithms
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Rise of Robot Radiologists.

Nature Dec 1, 2019
Confounding Factors, Epidemiologic Cell Phone Datasets as Topic Practice Guidelines as Topic Uncertainty Bias Radiologists Healthcare Disparities Retina Tuberculosis United States Food and Drug Administration Female Deep Learning Sensitivity and Specificity Triage United States Diagnostic Errors Robotics Mammography Radiology Breast Neoplasms Cardiovascular Diseases Diagnosis, Computer-Assisted Diabetic Retinopathy Tomography, X-Ray Computed Humans Clinical Decision-Making
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[Artificial intelligence : A helpful tool for radiologists?].

Der Radiologe Dec 1, 2019
Artificial intelligence (AI) is not intelligent in the human meaning-AI works on the basis of algorithms created by humans and the results of AI are based on real-world data. AI is regulated by all legal frameworks that also apply in other scenarios,...
Humans Radiologists Computer Security Artificial Intelligence Software Algorithms
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Role of Artificial Intelligence in Imaging: From A Radiologist's Point of View with A Focus on Breast Imaging.

Anatolian journal of cardiology Oct 1, 2019
Female Breast Neoplasms Humans Image Processing, Computer-Assisted Attitude of Health Personnel Mammography Artificial Intelligence Radiologists
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Simulated Lumbar Dual-Energy X-Ray Absorptiometry With Machine Learning Algorithms: Why Radiologists Who Interpret Abdominal CTs Should Care.

Journal of the American College of Radiology : JACR Oct 1, 2019
Humans Machine Learning Algorithms Tomography, X-Ray Computed Radiologists Absorptiometry, Photon
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Can a Machine Learn from Radiologists' Visual Search Behaviour and Their Interpretation of Mammograms-a Deep-Learning Study.

Journal of digital imaging Oct 1, 2019
Visual search behaviour and the interpretation of mammograms have been studied for errors in breast cancer detection. We aim to ascertain whether machine-learning models can learn about radiologists' attentional level and the interpretation of mammog...
Female Breast Humans Mammography Pattern Recognition, Visual Breast Neoplasms Neural Networks, Computer Radiologists Machine Learning Radiographic Image Interpretation, Computer-Assisted Deep Learning
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Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers.

Journal of the American College of Radiology : JACR Sep 1, 2019
Recent advances in artificial intelligence (AI) are providing an opportunity to enhance existing clinical decision support (CDS) tools to improve patient safety and drive value-based imaging. We discuss the advantages and potential applications that ...
Quality Improvement Female Male Decision Support Systems, Clinical Radiology Algorithms Humans Radiologists Artificial Intelligence Research Design Referral and Consultation Machine Learning Health Personnel
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