Top Tweets for #RadAIChat
What's new in radiology AI? Join the #RadAIchat Tweet Chat, 1st Wednesdays, 8 pm ET @RSNA https://t.co/ssCXk7LHf1 #AI #ML #Radiomics
What's new in radiology AI? Join the #RadAIchat Tweet Chat, 1st Wednesdays, 8 pm ET @RSNA https://t.co/Q06cUCMH4U #AI #ML #MachineLearning
Join the @Radiology_AI tweet chat! Follow #RadAIchat -- 1st Wednesday of every month at 8 pm Eastern Time (US) @HElhalawaniMD https://t.co/ssCXk7LHf1 #MachineLearning #DeepLearning #ArtificialIntelligence
Connect with #AI experts and radiology colleagues! Join the #RadAIchat tweet chat: 1st Wednesday of the month at 8pm Eastern Time @RSNA https://t.co/ssCXk7LHf1 #ML #DeepLearning #Radiomics
Join the @Radiology_AI tweet chat! Follow #RadAIchat -- 1st Wednesday of every month at 8 pm Eastern Time (US) @HElhalawaniMD https://t.co/Q06cUCMH4U #ML #DeepLearning #ArtificialIntelligence
What's new in radiology AI? Join the #RadAIchat Tweet Chat, 1st Wednesdays, 8 pm ET @RSNA https://t.co/ssCXk7LHf1 #AI #Radiomics #ArtificialIntelligence
Join today's leaders in #radiology and #AI! Follow the #RadAIchat tweetchat: 1st Wednesday, 8 pm ET @HElhalawaniMD https://t.co/Q06cUCMH4U #ML #Radiomics #ArtificialIntelligence
What's new in radiology AI? Join the #RadAIchat Tweet Chat, 1st Wednesdays, 8 pm ET @RSNA https://t.co/Q06cUCMH4U #ML #MachineLearning #ArtificialIntelligence
What's new in radiology AI? Join the #RadAIchat Tweet Chat, 1st Wednesdays, 8 pm ET @RSNA https://t.co/ssCXk7LHf1 #ML #MachineLearning #Radiomics
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 in Jan. 2025!
Another recommendation: Variability among risk classification models – perform the same at a population level, but very differently for individuals. https://t.co/BcKkzk7bW1 #RadAIchat
Important study to be aware of: RCT in Sweden on AI in screening mammography. Note different screening practices: 2D (versus mostly DBT in US), double reading and longer screening interval. https://t.co/kCak2S86ph - Dr. Milch #RadAIchat
T4: 1/ LLMs are already proving valuable for simplifying patient info, creating reports, and analyzing resident reports. They’re also poised to help with info retrieval from EHRs. Next-gen multimodal AI models will likely become even more interactive…#RadAIchat
I've been thinking AI should fully write the reports, especially for low risk/ negative exams (e.g. benign calcifications, biopsy marker, post-surgical change) and the rad just opens the study, reviews, and signs. This could also apply to US, MRI, biopsies, etc. #RadAIchat
2/ The 2015 CAD study by Lehman was valuable for its scale, showing no net positive effect of CAD. We still lack large-scale studies for AI CADx to better understand its impact and effectiveness in real-world single reader settings. #RadAIchat
https://t.co/pe84UapqI2
T3: 1/ Are radiologists still wary of AI CAD? 👀The hype cycle of the 90s-00s left everyone skeptical about CAD, but letting rads test AI CAD in practice should prove its value. More research is needed on recall rates and automation bias in single-reader setups. #RadAIchat
T2. What are some of the biggest challenges facing the practical use of #AI in breast imaging?
#RadAIchat
@Radiology_AI @Intraaxial @AdamYala @RSNA @cekahn @HElhalawaniMD Hi everyone! I'm a breast radiologist at @NYUImaging and my research is in multimodal (MG/DBT/US/MRI) breast AI for screening, risk assessment and diagnostics. Delighted to be here at #RadAIchat tonight!
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