AIMC Topic: Radiology
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Stakeholders' perspectives on the future of artificial intelligence in radiology: a scoping review.
European radiology
Sep 21, 2021
OBJECTIVES: Artificial intelligence (AI) has the potential to impact clinical practice and healthcare delivery. AI is of particular significance in radiology due to its use in automatic analysis of image characteristics. This scoping review examines ...
Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology.
Korean journal of radiology
Sep 13, 2021
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers.
BMC medical informatics and decision making
Sep 11, 2021
BACKGROUND: It is essential for radiologists to communicate actionable findings to the referring clinicians reliably. Natural language processing (NLP) has been shown to help identify free-text radiology reports including actionable findings. However...
Integrating artificial intelligence into radiology practice: undergraduate students' perspective.
European journal of nuclear medicine and molecular imaging
Sep 10, 2021
Introduction to the artificial intelligence in pediatric radiology imaging special issue.
Pediatric radiology
Sep 8, 2021
Deep Learning-Based Natural Language Processing in Radiology: The Impact of Report Complexity, Disease Prevalence, Dataset Size, and Algorithm Type on Model Performance.
Journal of medical systems
Sep 4, 2021
In radiology, natural language processing (NLP) allows the extraction of valuable information from radiology reports. It can be used for various downstream tasks such as quality improvement, epidemiological research, and monitoring guideline adherenc...
Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective.
Pediatric radiology
Sep 1, 2021
Artificial intelligence (AI) applications for chest radiography and chest CT are among the most developed applications in radiology. More than 40 certified AI products are available for chest radiography or chest CT. These AI products cover a wide ra...
Radiomics: a primer on high-throughput image phenotyping.
Abdominal radiology (New York)
Aug 25, 2021
Radiomics is a high-throughput approach to image phenotyping. It uses computer algorithms to extract and analyze a large number of quantitative features from radiological images. These radiomic features collectively describe unique patterns that can ...
Ethical impact of suboptimal referrals on delivery of care in radiology department.
Journal of medical ethics
Aug 24, 2021
The referral is the key source of information that enables radiologists and radiographers to provide quality services. However, the frequency of suboptimal referrals is widely reported. This research reviews the literature to illuminate the challenge...
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