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    • Mashup Score: 2
      Deep Anatomical Federated Network (Dafne): An Open Client-Server Framework for Continuous, Collaborative Improvement of Deep Learning–based Medical Image Segmentation | Radiology: Artificial Intelligence - 21 day(s) ago

      Dafne is a free and open-source software suite that implements the principles of continuous and decentralized deep learning to assist users in medical image segmentation, serving as a potential alt…

      Source: pubs.rsna.org
      Categories: General Medicine News, Future of Medicine
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        cekahn

        RT @Radiology_AI: Dafne, a fully open client-server software package for segmentation of medical images https://t.co/jVZ2BuWsl4 @UniBasel_e…

    • Mashup Score: 3
      Establishing a Chain of Evidence for AI in Radiology: Sham AI and Randomized Controlled Trials | Radiology: Artificial Intelligence - 1 month(s) ago

      Can’t sign in? Forgot your password? If the address matches an existing account you will receive an email with instructions to reset your password. Can’t sign in? Forgot your username? 1. Shi Z, Hu B, Lu M, et al; China Aneurysm AI Project Group.. Radiol Artif Intell 2025;7(3):e240140. 2. Topol EJ.. Nat Med 2019;25(1):44–56. 3. Bhatt DL, Mehta C.. N Engl J Med 2016;375(1):65–74. 4. Rajpurkar P, Chen E, Banerjee O, Topol EJ.. Nat Med 2022;28(1):31–38.

      Source: pubs.rsna.org
      Categories: General Medicine News, Future of Medicine
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        cekahn

        RT @Radiology_AI: Development & validation of a sham-AI model for intracranial aneurysm detection at CT angiography https://t.co/2ozaX8nU3t…

    • Mashup Score: 15
      Radiologists warn of cybersecurity risks stemming from large language model use - 2 month(s) ago

      Members of the specialty shared their advice in a special report published by the Radiological Society of North America’s journal Radiology: Artificial Intelligence. 

      Source: radiologybusiness.com
      Categories: General Medicine News, Future of Medicine
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        cekahn

        #LLMs and #CyberSecurity risks: a special report in @Radiology_AI 🔵 https://t.co/DHhbQxo1jw @MartyStempniak @RadiologyBiz @RSNA

    • Mashup Score: 62
      A.I. Was Coming for Radiologists’ Jobs. So Far, They’re Just More Efficient. - 2 month(s) ago

      Experts predicted that artificial intelligence would steal radiology jobs. But at the Mayo Clinic, the technology has been more friend than foe.

      Source: www.nytimes.com
      Categories: General Medicine News, Future of Medicine
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        cekahn

        Excellent article on #AI in #radiology by @SteveLohr in today's @nytimes: Your A.I. Radiologist Will Not Be With You Soon https://t.co/hovX0GEt8J @Radiology_AI @PennMDForum @PennRadiology

    • Mashup Score: 1
      Radiology: Artificial Intelligence - 2 month(s) ago

      Can’t sign in? Forgot your password? If the address matches an existing account you will receive an email with instructions to reset your password. Can’t sign in? Forgot your username? An end-to-end deep learning pipeline provides standardized segmentation for patients with single ventricle physiology (Yao and St. Clair et al). A CNN trained on data from three brain cancer datasets accurately classifies MR image sequences (Mahmutoglu et al). See the latest information about Radiology: Artificial Intelligen

      Source: pubs.rsna.org
      Categories: General Medicine News, Future of Medicine
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        cekahn

        RT @Radiology_AI: Radiology: Artificial Intelligence offers leading-edge #MachineLearning research ➡️ https://t.co/RFrCO88d7j @wacv_offic…

    • Mashup Score: 1
      Radiology: Artificial Intelligence - 2 month(s) ago

      Can’t sign in? Forgot your password? If the address matches an existing account you will receive an email with instructions to reset your password. Can’t sign in? Forgot your username? An end-to-end deep learning pipeline provides standardized segmentation for patients with single ventricle physiology (Yao and St. Clair et al). A CNN trained on data from three brain cancer datasets accurately classifies MR image sequences (Mahmutoglu et al). See the latest information about Radiology: Artificial Intelligen

      Source: pubs.rsna.org
      Categories: General Medicine News, Future of Medicine
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        cekahn

        RT @Radiology_AI: Radiology: Artificial Intelligence offers leading-edge #MachineLearning research ➡️ https://t.co/RFrCO88d7j @wacv_offic…

    • Mashup Score: 1
      Checklist for Artificial Intelligence in Medical Imaging (CLAIM) - 3 month(s) ago

      Find the most recent CLAIM guide for authors and reviewers of AI manuscripts in medical imaging.

      Source: pubs.rsna.org
      Categories: General Medicine News, Future of Medicine
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        cekahn

        RT @Radiology_AI: CLAIM: the Checklist for AI in Medical Imaging #guideline #checklist https://t.co/XUVb3iBBT2 #AI #MachineLearning #Artif…

    • Mashup Score: 1
      Radiology: Artificial Intelligence - 3 month(s) ago

      Can’t sign in? Forgot your password? If the address matches an existing account you will receive an email with instructions to reset your password. Can’t sign in? Forgot your username? An end-to-end deep learning pipeline provides standardized segmentation for patients with single ventricle physiology (Yao and St. Clair et al). A CNN trained on data from three brain cancer datasets accurately classifies MR image sequences (Mahmutoglu et al). See the latest information about Radiology: Artificial Intelligen

      Source: pubs.rsna.org
      Categories: General Medicine News, Future of Medicine
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      • Profile photo of 	cekahn
        cekahn

        RT @Radiology_AI: Radiology: Artificial Intelligence offers leading-edge #MachineLearning research ➡️ https://t.co/RFrCO88d7j @wacv_offic…

    • Mashup Score: 1
      Artificial Intelligence Is Brittle: We Need to Do Better | Radiology: Artificial Intelligence - 3 month(s) ago

      Can’t sign in? Forgot your password? If the address matches an existing account you wil l receive an email with instructions to reset your password. Can’t sign in? Forgot your username? 1. Hsu W, Hippe DS, Nakhaei N, et al.. JAMA Netw Open 2022;5(11):e2242343. 2. Voter AF, Larson ME, Garrett JW, Yu JJ.. AJNR Am J Neuroradiol 2021;42(8):1550–1556. 3. Johnson DC, Raman SS, Mirak SA, et al.. Eur Urol 2019;75(5):712–720. 4. Rouvière O, Souchon R, Lartizien C, et al.. BMJ Open 2022;12(2):e051274. 5. de

      Source: pubs.rsna.org
      Categories: General Medicine News, Future of Medicine
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        cekahn

        RT @Radiology_AI: #DeepLearning to predict prostate cancer aggressiveness https://t.co/FT7cn8vXbk @abhisuri97 @radiologyUCLA @bioengUCLA #P…

    • Mashup Score: 1
      Radiology: Artificial Intelligence - 3 month(s) ago

      Can’t sign in? Forgot your password? If the address matches an existing account you will receive an email with instructions to reset your password. Can’t sign in? Forgot your username? An end-to-end deep learning pipeline provides standardized segmentation for patients with single ventricle physiology (Yao and St. Clair et al). A CNN trained on data from three brain cancer datasets accurately classifies MR image sequences (Mahmutoglu et al). See the latest information about Radiology: Artificial Intelligen

      Source: pubs.rsna.org
      Categories: General Medicine News, Future of Medicine
      Tweet Tweets with this article
      • Profile photo of 	cekahn
        cekahn

        RT @Radiology_AI: Radiology: Artificial Intelligence offers leading-edge #MachineLearning research ➡️ https://t.co/RFrCO88d7j @wacv_offic…

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    Charles Kahn, MD

    @cekahn

    Working to improve #health for all. @PennMedicine #radiology vice chair; Editor, @Radiology_AI (Views my own; RT/❤️ is not endorsement)

    ASCO 2025

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