PhD, Head of Clinical Evidence @ArterysInc

Joined August 2011
We are very pleased to announce @Radiology_AI's 2022 Impact Factor... 🌟 9.8 🌟 Sincere thanks to our authors, reviewers, editorial board, and @RSNA Publications staff!
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Marina Codari retweeted
Amazing participation in last week's #RadAIchat! 📣755 Tweets 🌟77 Participants ➡️5,525,752 Impressions More 📊 here symplur.com/healthcare-hasht… @Radiology_AI
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Marina Codari retweeted
Replying to @woojinrad
A2: Check this opinion article: Ismail A, Ghorashi NS, Javan R. New Horizons: The Potential Role of OpenAI's ChatGPT in Clinical Radiology. J Am Coll Radiol. 2023 Mar 25:S1546-1440(23)00259-4. doi: 10.1016/j.jacr.2023.02.025. #RadAIchat
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Marina Codari retweeted
2/ Here's a @JournalofNucMed article where #ChatGPT generates a "quite impressive" PET/CT report. buff.ly/3AKq0Y6 #RadAIchat #radiology #GenerativeAI #GenAI
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Marina Codari retweeted
8/ As I see articles like this one buff.ly/3LKB3a8 and discussions like this buff.ly/44m8jvk, I cannot help but wonder if sometimes we’re like the blind men with the elephant. #RadAIchat
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Marina Codari retweeted
4/ ➕ Augment reviewers by: ✅ for references... but be careful, ChatGPT can make up references ✅ for inconsistencies ✅ math (OK, #ChatGPT is bad at math but using it with @Wolfram_Alpha can make it better) #RadAIchat
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Marina Codari retweeted
5/ 👀 identify areas that can be improved, ➕ Check for fraud: ✅ plagiarism ✅ duplicate submissions ➖ #AIbias ➖ AI errors and automation bias ➖ Overvaluing #AI and undervaluing human domain expertise #RadAIchat
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Marina Codari retweeted
2/ You can automate basic quality checks and filter out inappropriate submissions to save time and resources. ⚠️ However, be careful with #bias! #RadAIchat
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P2. How long it will take for GPT4-based applications to impact clinical practice? #radaichat
54%<2 years
34%2-5 years
8%5-10 years
4%> 10 years
50 votes • Final results
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T4: Well, let's ask this one from GPT4 itself :D How do you rate the quality of this response? #RadAIchat
T4. Improved efficiency vs. advancing diagnosis: Where can #chatGPT help the most? #RadAIchat
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Marina Codari retweeted
3/ 🔹 ChatGPT can contribute to radiology by improving radiology reports, providing more complete patient history, identifying best practices, and flagging billing requirements. #RadAIchat
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In the future, LLMs in general will have their biggest impact on advancing diagnosis and enabling discovery, but for now I will stick with efficiency. #RadAIchat
T4. Improved efficiency vs. advancing diagnosis: Where can #chatGPT help the most? #RadAIchat
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Marina Codari retweeted
4/ This terrific @TEDTalks by @salkhanacademy was just released this week. Using #GenerativeAI like this gives me hope that "we're at the cusp of using #AI for probably the biggest positive transformation that #education has ever seen." buff.ly/4117yoy #RadAIchat
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Marina Codari retweeted
2/ If you take a look at how @khanacademy (#Khanmigo) and @duolingo are leveraging #GPT4, you can see that LLMs are already changing education, and we should learn from their experience. #RadAIchat
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Marina Codari retweeted
Replying to @Radiology_AI
Check this article: A3: ChatGPT - Reshaping medical education and clinical management. doi: 10.12669/pjms.39.2.7653 #RadAIchat
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P1. Which application of GPT4 will reach clinical adoption first? #radaichat
33%Education
31%Radiology reports & notes
8%Clinical decision-making
28%Research
39 votes • Final results
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Marina Codari retweeted
T2. I agree with @DrHughHarvey when he said 📢 "#ChatGPT (and other models like it) can not be used safely in #medical practice in their current form." ⚠️ Oh, and don't forget about the need for regulatory approval. 👉 buff.ly/3LswzDk #RadAIchat
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T2. GPT4 is accessible now, but clinical use requires attention to both PHI (OpenAI uses prompts to retrain) and hallucinations/confabulations. #RadAIChat
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Also important to remember that while GPT4 is the most "readily available" via the API (not for PHI!!), there will likely be other, similar and more efficient LLMs coming down the line shortly. So most of my comments will be about large generative LMs, not only GPT4. #RadAIChat
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