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P2. Which medical imaging domains did the 72 #CLAIM panelists come from? #radaichat

This concludes today's #RadAIchat. Many thanks to our experts and participants for the thought-provoking discussion. Our panelists will continue to engage with participants 🌍 for the next 24 hours. Join us for the next #RadAIchat on Oct. 2, 2024 at 8 PM ET.

T5. If you still wonder if checklists like #CLAIM2024 should be used when preparing manuscripts, you can have a look at a recent commentary doi.org/10.4274/dir.20… #RadAIchat

#DeepLearning biological age estimate added value to clinical factors in asymptomatic individuals doi.org/10.1148/ryai.2… SNU Radiology #Ageing #mortality #ML

#DeepLearning analysis of neonatal brain #MRI predicts 2-year neurodevelopmental outcomes doi.org/10.1148/ryai.2… Evan Calabrese, MD PhD Duke Radiology #newborns #AI #ML

How well does #DeepLearning measure the amount of fluid in the abdomen? doi.org/10.1148/ryai.2… #AbdRad #ascites #ML

Evaluating Sex-specific Differences in Abdominal Fat Volume and Proton Density Fat Fraction on MRI Scans Using Automated nnU-Net-based Segmentation doi.org/10.1148/ryai.2… Mingming Wu BMRR #AbdRad #MRI #MachineLearning

#ThrowbackThursday – Domain-adapted Large Language Models for Classifying Nuclear Medicine Reports (Nov 2023) doi.org/10.1148/ryai.2… #ML #Radiomics #ArtificialIntelligence

Can #DeepLearning substitute for a 2nd-reader radiologist? doi.org/10.1148/ryai.2… OUH Odense Svendborg Aarhus University University of Copenhagen #BreastRad #AI #ML

The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma (UCSF-ALPTDG) #MRI Dataset doi.org/10.1148/ryai.2… Javier Villanueva-Meyer MD Brandon K.K. Fields, M.D. UCSF Imaging #cancer #DataResources #AI

What's new in medical imaging #AI? Explore the latest issue of Radiology: Artificial Intelligence ➡️ pubs.rsna.org/journal/ai ISCB News #CIBB2024 #MachineLearning #ML

Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification doi.org/10.1148/ryai.2… Benjamin Hou NIH Radiology and Imaging Sciences #ascites #OvarianCancer #MachineLearning

Presurgical Upgrade Prediction of #DCIS to Invasive Ductal Carcinoma Using Time-dependent Deep Learning Models with DCE MRI doi.org/10.1148/ryai.2… John Mayfield, M.D., Ph.D. Moffitt Cancer Center #BreastCancer #OncoRad #AI

How well does #DeepLearning measure the amount of fluid in the abdomen? doi.org/10.1148/ryai.2… #AbdRad #ML #MachineLearning

Evaluating the reproducibility of MRI #radiomics features in patients with neuroblastoma doi.org/10.1148/ryai.2… Grupo de Investigación Biomédica en Imagen Diana #OncoRad #neuroblastoma #CancerKids

Viewpoints on the current clinical penetration of AI technology in radiology doi.org/10.1148/ryai.2… Felipe Kitamura John Mongan Charles Kahn, MD #ArtificialIntelligence #MachineLearning #ML

Commentary on a model to predict outcomes in neonates with encephalopathy doi.org/10.1148/ryai.2… CHOP Radiology Penn Radiology #NeuroRad #PedsRad #neonates

#AI-Integrated Screening to Replace Double Reading of Mammograms: A Population-wide Accuracy and Feasibility Study doi.org/10.1148/ryai.2… OUH Odense Svendborg Uni Southern Denmark University of Copenhagen #BreastRad #BreastCancer #ML

Check out today's #FreeFriday Radiology: Artificial Intelligence article from #PubMedCentral! Performance of an Open-Source Large Language Model in Extracting Information from Free-Text Radiology Reports ncbi.nlm.nih.gov/pmc/articles/P… #ML #MachineLearning #ArtificialIntelligence

Automated body composition analysis on #MRI sheds light on sex-specific metabolic response to caloric restriction and weight loss doi.org/10.1148/ryai.2… Mingming Wu BMRR #segmentation #nnUNet #MachineLearning