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Artificial Intelligence: Page 2
Prolific podcasters release final episode
By
Edna Astbury-Ward, PhD
RadCast has produced its last podcast. In 67 episodes recorded over nearly six years, co-founders Dr. Jamie Howie and Dr. Uzoma Nnajiuba have chalked up interviews with many leading figures in radiology.
April 8, 2024
Training technique in AI helps preserve patient privacy
By
Will Morton
The privacy of patient data in AI models trained on chest x-rays can be guaranteed – importantly, without significantly reducing the accuracy of models on large “real-world” data sets.
March 27, 2024
What's the best approach for AI implementation?
By
Philip Ward
Creating a multidisciplinary board with patient involvement is helping to ensure the safe and effective clinical implementation of radiology AI at a large U.K. hospital group.
March 21, 2024
U.K. hospital group implements AI for prostate cancer imaging
By
AuntMinnie.com staff writers
Somerset NHS Foundation Trust in the U.K. has rolled out AI technology to help radiologists detect prostate cancer lesions on MRI scans.
March 20, 2024
Vicky Goh: Journal editing 'is no quiet life'
By
Matt Limb
"You do sometimes feel like it's 'death by journal' -- simply because the journal never sleeps." So says top researcher Prof. Vicky Goh, who shared her experiences during a special session on publishing held at ECR 2024.
March 18, 2024
Erik Ranschaert shares insight on radiology AI
Health informatics guru Prof. Erik Ranschaert looks ahead to ECR 2024 and comments on how to implement radiology AI. He's also getting set to run in his first marathon.
February 26, 2024
DeepHealth to share incidental lung nodule study results at ECR
RadNet subsidiary DeepHealth plans to share results from a study that explores the identification of incidental lung nodules aided by AI software at the upcoming ECR meeting in Vienna.
February 21, 2024
Deepc acquires Osimis
By
AuntMinnieEurope.com staff writers
Deepc GmbH has acquired the Osimis Platform.
February 20, 2024
Can radiologists’ eye-tracking data enhance AI?
By
Will Morton
Integrating eye-tracking data that map how radiologists interpret x-rays into deep learning AI algorithms could be key to developing more “human-centered” AI.
February 20, 2024
Image processing methods can deliver reproducible radiomics
By
Erik L. Ridley
A U.K.-German team has developed standardized image processing techniques that can significantly improve the reproducibility of AI-based radiomics analysis.
February 16, 2024
Multidisciplinary team led by Charité unveils coronary AI roadmap
By
Liana Gruenberg
In part three of our video interview series recorded onsite at the Charité in Berlin, Prof. Dr. Dr. Marc Dewey explains to Contributing Editor Liana Gruenberg about a new coronary AI roadmap.
February 8, 2024
AI improves performance of nonradiologists in chest imaging
By
Amerigo Allegretto
AI improves imaging interpretation by nonradiologist practitioners, which could aid in low-resource settings.
February 5, 2024
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