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AI: Page 145
MRI radiomics predicts axillary lymph node metastasis
By
Erik L. Ridley
In patients with early-stage breast cancer, "signatures" derived from MRI radiomics and patient clinical risk characteristics can be utilized to preoperatively predict axillary lymph node metastasis as well as disease-free survival, according to research published online December 8 in
JAMA Network Open
.
December 7, 2020
AstraZeneca, Qure.ai partner for lung cancer diagnosis
By
AuntMinnie.com staff writers
AstraZeneca has partnered with deep-learning algorithm developer Qure.ai to integrate artificial intelligence solutions for the early detection of lung cancer.
December 6, 2020
Lunit touts study for COVID-19 imaging
By
AuntMinnie.com staff writers
Artificial intelligence (AI) software developer Lunit is touting the results of a recent
PLOS One
study showing that its Insight CXR algorithm successfully detected COVID-19 pneumonia on chest radiography.
December 6, 2020
Machine learning helps find vessel occlusions on CTA
By
Kate Madden Yee
A 3D convolutional neural network helps find large-vessel occlusions on head and neck CT angiography (CTA) studies -- which could translate to better patient outcomes, according to research presented at the recent virtual RSNA 2020 meeting.
December 6, 2020
CT radiomics characterizes complex cystic renal lesions
By
Erik L. Ridley
A machine-learning algorithm based on CT radiomics analysis can enable better preoperative risk classification of complex cystic renal lesions than relying only on the traditional Bosniak classification criteria, according to an international multicenter study presented Friday at the virtual RSNA 2020 meeting.
December 6, 2020
Ibex Medical Analytics, Institut Curie partner on breast cancer
By
AuntMinnie.com staff writers
Ibex Medical Analytics and Institut Curie are joining forces to improve breast cancer detection using artificial intelligence.
December 3, 2020
Federated learning may boost AI generalizability
By
Erik L. Ridley
Training deep-learning algorithms with a federated-learning approach could help address the challenge of improving the performance of radiology artificial intelligence (AI) software across institutions, according to a presentation in a scientific session at this week's virtual RSNA 2020 meeting.
December 2, 2020
The 2020 PACSman Awards: Is that all there is?
By
Michael J. Cannavo
What were the hot topics in artificial intelligence and enterprise imaging at RSNA 2020? The PACSman, aka Mike Cannavo, offers his thoughts, as well as the eagerly awaited PACSman Awards for excellence in sales and marketing at this year's virtual conference.
December 2, 2020
CorTechs Labs rebrands itself at RSNA 2020
By
AuntMinnie.com staff writers
Developer CorTechs Labs announced at RSNA 2020 a name change to Cortechs.ai to reflect the company's focus on artificial intelligence and its goals for the future.
December 2, 2020
Radiology workflow a focus for Philips at RSNA 2020
By
Brian Casey
A centralized command center that enables healthcare enterprises to more easily manage their far-flung radiology operations is the focus of the virtual booth at RSNA 2020 for Philips Healthcare.
December 2, 2020
Deep-learning algorithm detects free air on CT images
By
Erik L. Ridley
A deep-learning algorithm was able to detect and quantify regions of free air on CT images, enabling patients with these critical pathologies to be prioritized on the radiology worklist, according to a presentation on Wednesday morning at the virtual RSNA 2020 meeting.
December 2, 2020
Segmed raises $2M to speed up medical AI
By
AuntMinnie.com staff writers
Data management vendor Segmed has raised $2Â million in seed funding to accelerate dataset sharing for medical artificial intelligence (AI).
December 1, 2020
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