AIMC Topic: Radiography

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Patients' views on the implementation of artificial intelligence in radiology: development and validation of a standardized questionnaire.

European radiology Nov 8, 2019
OBJECTIVES: The patients' view on the implementation of artificial intelligence (AI) in radiology is still mainly unexplored territory. The aim of this article is to develop and validate a standardized patient questionnaire on the implementation of A...
Middle Aged Surveys and Questionnaires Psychometrics Adult Male Netherlands Attitude to Computers Attitude to Health Radiography Radiology Adolescent Prospective Studies Reproducibility of Results Aged, 80 and over Young Adult Aged Humans Artificial Intelligence
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Machine learning-based prediction of radiographic progression in patients with axial spondyloarthritis.

Clinical rheumatology Oct 30, 2019
INTRODUCTION: Machine learning is applied to characterize the risk and predict outcomes in multi-dimensional data. The prediction of radiographic progression in axial spondyloarthritis (axSpA) remains limited. Hence, we tested the feasibility of supe...
Disease Progression Severity of Illness Index Spine Spondylarthritis Humans Radiography Machine Learning Retrospective Studies Adult Republic of Korea Male Middle Aged Female
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Deep Learning for Chest Radiography in the Emergency Department.

Radiology Oct 22, 2019
Deep Learning Emergency Service, Hospital Thorax Radiography
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Preparing for Artificial Intelligence: Systems-Level Implications for the Medical Imaging and Radiation Therapy Professions.

Journal of medical imaging and radiation sciences Oct 21, 2019
Innovations in artificial intelligence (AI) are driving a new industrial revolution, and as a result, the medical radiation sciences is experiencing transformational, open, beneficial, yet disruptive changes. Many studies have already been published ...
Radiotherapy Delivery of Health Care Radiography Radiology Humans Artificial Intelligence
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The Importance of Imaging Informatics and Informaticists in the Implementation of AI.

Academic radiology Oct 19, 2019
Imaging informatics is critical to the success of AI implementation in radiology. An imaging informaticist is a unique individual who sits at the intersection of clinical radiology, data science, and information technology. With the ability to unders...
Radiology Radiology Information Systems Artificial Intelligence Radiography
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Artificial Intelligence in Medicine: Where Are We Now?

Academic radiology Oct 19, 2019
Artificial intelligence in medicine has made dramatic progress in recent years. However, much of this progress is seemingly scattered, lacking a cohesive structure for the discerning observer. In this article, we will provide an up-to-date review of ...
Pathology Forecasting Radiography Ophthalmology Dermatology Radiology Artificial Intelligence
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A trial on artificial neural networks in predicting sex through bone length measurements on the first and fifth phalanges and metatarsals.

Computers in biology and medicine Oct 8, 2019
BACKGROUND: Predicting sex is an important problem in forensic medicine. The femur, patella, mandible and calcaneus bones are frequently used in predicting sex. In our study, we aimed to use the artificial neural network (ANN) technique to predict se...
Neural Networks, Computer Databases, Factual Female Humans Middle Aged Predictive Value of Tests Radiography Adult Male Toe Phalanges Sex Determination by Skeleton Metatarsal Bones
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AI and Ethics in Medical Radiation Sciences.

Journal of medical imaging and radiation sciences Sep 25, 2019
Radiologists Physician's Role Radiography Artificial Intelligence Radiology Humans Clinical Decision-Making
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A modality conversion approach to MV-DRs and KV-DRRs registration using information bottlenecked conditional generative adversarial network.

Medical physics Sep 6, 2019
PURPOSE: As affordable equipment, electronic portal imaging devices (EPIDs) are wildly used in radiation therapy departments to verify patients' positions for accurate radiotherapy. However, these devices tend to produce visually ambiguous and low-co...
Machine Learning Image Processing, Computer-Assisted Radiography
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Artificial intelligence in radiology: the ecosystem essential to improving patient care.

Clinical imaging Aug 31, 2019
The rapid development of artificial intelligence (AI) has led to its widespread use in multiple industries, including healthcare. AI has the potential to be a transformative technology that will significantly impact patient care. Particularly, AI has...
Radiology Patient Care Humans Ecosystem Radiography Artificial Intelligence Diagnostic Imaging
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