Mike Klontzas
@Klonmich
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MD ๐ฌ๐ท, PhD (@imperialcollege) ๐ฌ๐ง, PhD ๐ฌ๐ท, Assistant Professor @UOC_gr, @Radiology_AI TEB, MSK radiology -omics enthusiast, dad & amateur musician
Greece
Joined March 2017
๐ฅCLAIM 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 https://t.co/a3gAZkj8H1
@IEEEembs @IEEEsps @IeeeIsbi #ISBI2024 #imaging #AI
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๐ฏIncreasing the CT attenuation threshold to 20 HU for lesions < 4โcm and eliminating washout CT for true adrenal incidentalomas, together with recommendations for endocrine assessment, will significantly decrease the over-investigation of overwhelmingly benign adrenal lesions.
๐ง The authors of this study proposed a paradigm shift in adrenal incidentaloma evaluation. By increasing the CT attenuation threshold to 20 HU for lesions <4โฏcm and eliminating washout CT from the diagnostic algorithm, they aim to reduce unnecessary imaging and interventions.
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Foundation models for radiology: fundamentals, applications, opportunities, challenges, risks, and prospects - Diagnostic and Interventional Radiology #AI #AIRadiology #AIMedicine #Radiology #DeepLearning #ArtificialIntelligence #RadRes #RadResearch #MedX #MedTwitter #RadTwitter
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๐ย Foundation Models for Radiology: A New Era Begins! ๐ Read our new open access review article: https://t.co/aFKXyrhMyC
@cxbln @renatocuocolo @Klonmich @A_PonsiglioneMD and Burak Kocak @EuSoMII #Radiology #AI #FoundationModels #MedicalImaging
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๐ค Rethinking Radiogenomics? ๐ Explore this newly launched European Journal of Radiology Artificial Intelligence paper to learn about pitfalls in multi-omics integration involving radiomicsโ ๐ https://t.co/LdyTrqk5K0
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๐กAre you interested in analysing your data and training AI models without prior coding knowledge? ๐Our webinar delivered together with Lefteris Tzanis will give a hands-on demonstration on real data to help you uncover the results of your research! July 9th 12-2pm BST ๐
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๐คRethinking radio-genomics: Key pitfalls in integrating radiomics with other omics ๐ Check it out: https://t.co/jMJM3fsqaO 1๏ธโฃ Radiomics is dynamic 2๏ธโฃ Genomics is static 3๏ธโฃ Integration needs more than stats ๐ Kudos Michail Klontzas #Radiomics #Genomics #OmicsIntegration
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๐ ๐ฒ๐ฒ๐ ๐๐ต๐ฒ ๐๐ฑ๐ถ๐๐ผ๐ฟ๐ถ๐ฎ๐น ๐๐ผ๐ฎ๐ฟ๐ฑ ๐ซToday, we are honoured to introduce Professor Michail Klontzas, MD, PhD ๐จโ๐ปAbout us https://t.co/1igl9CC8Om
#EJR #ArtificialIntelligence #Radiology #AIinHealthcare #MedicalInnovation #EJRAI
@Klonmich @pintodrad @euosmii
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Standardization and resources can help improve reproducibility and usability. A #EuropeanRadiology study on the METRICS #radiomics score found that intra-rater reliability was generally good, but inter-rater reliability was low, even with training. (@Tugba_Akinci_MD et al.,
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New study with early insights of CLEAR in @EJR_official_ ๐Self-reported checklists were included in more than half of the papers adopting CLEAR. ๐Self-reported study-wise adherence score was significantly higher than confirmed score, indicating inaccurate reporting practices.
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๐ฆ #EuraSpotlight on Radiomics ๐ฆ How can #radiomics improve clinical decision-making? This #ESREssentials article provides a roadmap to overcome challenges in reproducibility and generalizability, paving the way for impactful insights in patient care. ๐งต๐ (@JAASANTINHA,
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๐ These #guidelines explore key considerations for the creation of imaging benchmark datasets to validate the performance of #AI software, addressing challenges likes data quality and heterogeneity. (Nikos Sourlos et al., @JAASANTINHA, @Klonmich, @renatocuocolo, @merelhuisman,
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This online survey that was conducted among @myESR members looked at the perceptions and expectations of #ArtificialIntelligence and its impact on #radiology. (@morenozanardo et al., @renatocuocolo, @Klonmich, @pintodrad) #InsightsIntoImaging ๐ https://t.co/Y7tHEJtOsO
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๐ "Ultimately, equipping radiologists in training with advanced research skills will build a community capable of advancing the field and securing the future of our speciality." - @Klonmich et al. (@MinervaBecker_, @myESR) #InsightsIntoImaging #Radiology #Healthcare ๐
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๐ฅ Hot off the press! A new "On Artificial Intelligence" is here, as we discuss the topic of #AI in #radiology with @Klonmich. "Since AI will be incorporated into every aspect of our radiological routine, we all need to be familiar with at least the basic concepts and
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#InsightsIntoImaging ๐
๐ย Important results on Research Training of future Radiologists ๐ย A major Europe-wide survey undertaken by the Radiology Trainee Forum #RTF of @myESR ๐ค Are future European radiologists prepared to become research leaders? Find out here: https://t.co/4dkjmPIxxr
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๐ย Important results on Research Training of future Radiologists ๐ย A major Europe-wide survey undertaken by the Radiology Trainee Forum #RTF of @myESR ๐ค Are future European radiologists prepared to become research leaders? Find out here: https://t.co/4dkjmPIxxr
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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 https://t.co/jKe6hTnqsW
#RadAIchat
dirjournal.org
Reporting checklists as compulsory supplements to artificial intelligence manuscript submissions - Diagnostic and Interventional Radiology
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