Mike Klontzas
@Klonmich
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MD 🇬🇷, PhD (@imperialcollege) 🇬🇧, PhD 🇬🇷, Assistant Professor @UOC_gr, @Radiology_AI TEB, MSK radiology -omics enthusiast, dad & amateur musician
Joined March 2017
🔥CLAIM guidelines 2024 update! A collaborative effort by a great team and an expert panel of 78 AI experts from all around the globe and several disciplines related to medical imaging #radiology #cardiology #pathology #computer_science #opthalmology #gastroenterology is online
Check out the key features of the newly updated CLAIM guideline @IEEEembs @IEEEsps @IeeeIsbi #ISBI2024 #imaging #AI
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RT @cannella_rob: New study with early insights of CLEAR in @EJR_official_ 📌Self-reported checklists were included in more than half of th…
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RT @EurRadiology: 🔦 #EuraSpotlight on Radiomics 🔦 How can #radiomics improve clinical decision-making? This #ESREssentials article provide…
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RT @InsightsImaging: 📜 These #guidelines explore key considerations for the creation of imaging benchmark datasets to validate the performa…
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RT @InsightsImaging: This online survey that was conducted among @myESR members looked at the perceptions and expectations of #ArtificialIn…
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RT @EuSoMII: Educational session: Building a research group With @pintodrad @Klonmich @ooliverdiaz @georg
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RT @InsightsImaging: 📜 "Ultimately, equipping radiologists in training with advanced research skills will build a community capable of adva…
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RT @EurRadiology: 🔥 Hot off the press! A new "On Artificial Intelligence" is here, as we discuss the topic of #AI in #radiology with @Klon…
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T5. If you still wonder if checklists like #CLAIM2024 should be used when preparing manuscripts, you can have a look at a recent commentary #RadAIchat
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RT @RadiologyEditor: T5. The update panel members agreed that the checklist should not be extended to research on imaging biomarkers #RadAI…
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RT @Tugba_Akinci_MD: T5. The METhodological RadiomICs Score (METRICS), a quality assessment tool for radiomics research based on the CLEAR…
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RT @Tugba_Akinci_MD: T5. CLEAR comes with an explanations, elaborations and examples paper to facilitate its use #RadAIchat
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RT @Tugba_Akinci_MD: T5. CLAIM could certainly help researchers to ensure high quality also in radiomics research I’d recommend, however,…
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T5. 🆘 Issues such as biomarker extraction, feature selection or region segmentation that are common in imaging biomarker research do not have a separate section in 📖CLAIM #RadAIchat
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T5. Panelists have voted not to include a separate section on imaging biomarkers/radiomics since this is a different topic, already covered in other guidelines such as CLEAR #RadAIchat
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RT @Tugba_Akinci_MD: T4. #CLAIM is tailored to medical imaging research and addresses imaging-specific features such as image data acquisit…
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RT @RadiologyEditor: T4. CLAIM also focuses on data curation, reference standard, model training, evaluation and performance #AImodels #Rad…
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