AIMC Topic: Societies, Medical
Clear Filters Showing 41 to 50 of 82 articles
Canadian Association of Radiologists White Paper on De-Identification of Medical Imaging: Part 1, General Principles.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Nov 3, 2020
The application of big data, radiomics, machine learning, and artificial intelligence (AI) algorithms in radiology requires access to large data sets containing personal health information. Because machine learning projects often require collaboratio...
Thyroid Ultrasound Reports: Will the Thyroid Imaging, Reporting, and Data System Improve Natural Language Processing Capture of Critical Thyroid Nodule Features?
The Journal of surgical research
Aug 13, 2020
BACKGROUND: Critical thyroid nodule features are contained in unstructured ultrasound (US) reports. The Thyroid Imaging, Reporting, and Data System (TI-RADS) uses five key features to risk stratify nodules and recommend appropriate intervention. This...
Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy.
Epilepsia
Aug 7, 2020
Epilepsy is a heterogeneous condition with disparate etiologies and phenotypic and genotypic characteristics. Clinical and research aspects are accordingly varied, ranging from epidemiological to molecular, spanning clinical trials and outcomes, gene...
Humans
Brain
Electronic Health Records
Common Data Elements
Research Support as Topic
Confidentiality
Stakeholder Participation
Electrocorticography
Telemedicine
Societies, Medical
Information Dissemination
Wearable Electronic Devices
Neuroimaging
Smartphone
Biomedical Research
Genomics
Computer Security
Advisory Committees
Deep Learning
Epilepsy
Big Data
Biological Ontologies
2020 ACR Presidential Address: Quality, Ownership, and Our Role as Physicians.
Journal of the American College of Radiology : JACR
Jul 6, 2020
A story from long ago reminds us of the importance of quality in our practices, of taking ownership of our patients, and of our role as physicians. The coronavirus disease 2019 (COVID-19) pandemic has disrupted our practices. Before the pandemic, man...
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...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823