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Artificial Intelligence: Page 87
Deep learning enables automatic radiotherapy planning
By
Cynthia E. Keen
A multi-institutional team has developed an automated treatment planning system for intensity-modulated radiation therapy based on 3D dose prediction and dose distribution-based optimization. The researchers demonstrated that the deep-learning-based method shows promise for generating highly individualized radiotherapy plans optimized for precision and quality.
January 9, 2019
Austrians spell out how to succeed with machine learning
By
Philip Ward
It's vital for radiologists to understand the basic principles of machine learning and the differences between supervised and unsupervised learning, as well as to appreciate the importance of data quality, according to award-winning research from Austria.
January 6, 2019
Where is AI making the difference in radiology today?
By
Gene Saragnese
Artificial intelligence (AI) promises to reduce costs and improve clinical outcomes, and it can provide useful support tools that can be integrated into current workflow, PACS, medical imaging hardware, and healthcare clouds, writes industry expert Gene Saragnese.
January 3, 2019
Global lung screening project shows early promise
By
AuntMinnieEurope.com staff writers
The International Association for the Study of Lung Cancer is reporting promising results with its Early Lung Imaging Confederation.
December 18, 2018
Radiology must stress patient contact to lure trainees
By
Frances Rylands-Monk
To win the hearts and minds of trainees and reassure them about the impact of artificial intelligence, radiologists must highlight patient interaction and how they contribute to clinical management, delegates heard at the annual leadership meeting of the European Society of Radiology, recently streamed live from Berlin.
December 18, 2018
Adding CAD to DBT can cut reading time by 14%
By
Kate Madden Yee
The addition of computer-aided detection (CAD) to digital breast tomosynthesis (DBT) interpretation can reduce reading time by 14% -- for both beginner and experienced readers, according to a study published online on 13 December in
European Radiology
.
December 17, 2018
Machine learning can generate realistic breast phantoms
By
Tami Freeman, PhD
Dutch and Italian researchers have used machine-learning algorithms to generate "superresolution" digital breast phantoms. They are now working to develop dynamic contrast-enhanced dedicated breast CT, which may prove useful for many stages of breast cancer care.
December 16, 2018
MaxQ AI signs with EnvoyAI
By
AuntMinnieEurope.com staff writers
Artificial intelligence (AI) software developer MaxQ AI has signed a distribution agreement with AI software provider EnvoyAI, a subsidiary of advanced visualization technology firm TeraRecon.
December 10, 2018
AI can have major impact on imaging cyberattacks
By
Erik L. Ridley
Artificial intelligence (AI) algorithms can be used to thwart cyberattacks on medical imaging equipment, but they may also be used to alter images, making attacks very difficult for radiologists to detect, according to new analysis presented at RSNA 2018 in Chicago.
December 6, 2018
Brainomix collaborates with Oxford on U.K. project
By
AuntMinnieEurope.com staff writers
U.K. medical imaging software company Brainomix is partnering with the University of Oxford on a government-funded project valued at 17.5 million pounds.
December 4, 2018
RSNA 2018: German medical students have no fear of AI
By
Erik L. Ridley
CHICAGO - While the majority of medical students in Germany are aware of the discussion of artificial intelligence (AI) in radiology, most are unafraid of being replaced by AI and are optimistic that it will improve radiology as well as medicine in general, according to research presented on Thursday at the RSNA 2018 meeting.
December 3, 2018
ScreenPoint partners with Volpara
By
AuntMinnieEurope.com staff writers
Dutch women's imaging software developer ScreenPoint Medical has signed a memorandum of understanding with breast imaging software developer Volpara Solutions.
November 29, 2018
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