Imaging Informatics: Page 11

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
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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
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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
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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
Prof. Vicky Goh leads the Workforce Group of the National Institute for Health and Care Research (NIHR) Imaging Group and sits on the steering committee of the NIHR Imaging Group. She is past president of the European Society of Oncologic Imaging and past chair of the Academic Committee at the U.K. Royal College of Radiologists. Photo courtesy of KCL.
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
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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
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Deepc acquires Osimis
By AuntMinnieEurope.com staff writers
Deepc GmbH has acquired the Osimis Platform.
February 20, 2024
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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
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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
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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
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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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What radiologists really need to know about breast AI
By Philip Ward
An Italian team has compiled a checklist of 10 points to remember about how AI advances in breast imaging can transform radiology and improve patient care.
February 1, 2024
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