Societies, Medical
Showing 51 to 60 of 96 articles
Artificial intelligence: radiologists' expectations and opinions gleaned from a nationwide online survey.
La Radiologia medica
Apr 29, 2020
PURPOSE: To report the results of a nationwide online survey on artificial intelligence (AI) among radiologist members of the Italian Society of Medical and Interventional Radiology (SIRM).
Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology.
La Radiologia medica
Apr 29, 2020
The COVID-19 pandemic started in Italy in February 2020 with an exponential growth that has exceeded the number of cases reported in China. Italian radiology departments found themselves at the forefront in the management of suspected and positive CO...
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Oct 1, 2019
This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of M...
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.
Journal of the American College of Radiology : JACR
Oct 1, 2019
This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of M...
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.
Radiology
Oct 1, 2019
This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of M...
Bending the Artificial Intelligence Curve for Radiology: Informatics Tools From ACR and RSNA.
Journal of the American College of Radiology : JACR
Jul 15, 2019
Artificial intelligence (AI) will reshape radiology over the coming years. The radiology community has a strong history of embracing new technology for positive change, and AI is no exception. As with any new technology, rapid, successful implementat...
Tackling the Radiological Society of North America Pneumonia Detection Challenge.
AJR. American journal of roentgenology
May 23, 2019
We provide overviews of deep learning approaches used by two top-placing teams for the 2018 Radiological Society of North America (RSNA) Pneumonia Detection Challenge. Practical applications of deep learning techniques, as well as insights into the...
Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.
Radiology
May 21, 2019
Background Risk stratification systems for thyroid nodules are often complicated and affected by low specificity. Continual improvement of these systems is necessary to reduce the number of unnecessary thyroid biopsies. Purpose To use artificial inte...
Adult
Sensitivity and Specificity
Male
Middle Aged
Risk Assessment
Adolescent
Aged
Aged, 80 and over
Young Adult
Humans
Retrospective Studies
Artificial Intelligence
Female
Reproducibility of Results
Societies, Medical
Diagnostic Imaging
Thyroid Gland
Image Interpretation, Computer-Assisted
Thyroid Nodule
Radiology Information Systems
United States
Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Apr 5, 2019
Artificial intelligence (AI) software that analyzes medical images is becoming increasingly prevalent. Unlike earlier generations of AI software, which relied on expert knowledge to identify imaging features, machine learning approaches automatically...
Machine learning concepts, concerns and opportunities for a pediatric radiologist.
Pediatric radiology
Mar 29, 2019
Machine learning, a subfield of artificial intelligence, is a rapidly evolving technology that offers great potential for expanding the quality and value of pediatric radiology. We describe specific types of learning, including supervised, unsupervis...
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