RT @UCSF_Ci2: The 8 – 12 week summer internship program at @UCSF_ci2 is open to all undergrad, grad & medical students. Don't miss this cha…

It was wonderful catching up with everyone at #KCR2024! Grateful for the opportunity and a special thanks to Dr. Changmin Park and #KSTR for the warm hospitality. @SNU_Rad @UCSFimaging

LAPD raid goes from bad to farce after gun allegedly sucked onto MRI machine via @SFGate

Some amazing lab members and collaborators visiting this summer! @UCSFimaging @UCSF_Ci2

T5. I'd highly recommend our RSNA Deep Learning Lab's NLP lectures. They introduce you to NLP (including BERT) that would be practically relevant for radiology. Course Github from 2023: #RadAIChat

T4. Similar to other AI clinical translation challenges - Generalizability, fairness, bias related issues; AI governance & regulatory approval; post-surveillance monitoring; real-time access to data if real-time integration is desired #RadAIChat

Additional interesting work RadBert, a finetuned BERT model for radiology: #RadAIChat

#RadAIChat T2. Practically speaking from a user perspective, the key difference of BERT and GPT is that BERT is usually fine tuned towards a specific task whereas GPT is designed for generation. GPT, when large enough, typically performs well even without finetuning.

T1. BERT is a type of large language model that takes into account context of words in a sentence when doing natural language processing. It was a significant leap and initial step breakthrough towards the current large language models that we see in the field. #RadAIChat

RT @LCAdamsRad: Excited to moderate #RadAIchat on July 3rd, 8 PM ET! We'll explore BERT models in radiology with panelists @ChunNanHsu @soh…

RT @Ali_nrz98: Extremely excited to join @sohn522's lab @UCSF_Ci2 as a T32 postdoctoral research fellow! Really looking forward to all of t…

RT @AliTejaniMD: 🚨Hot off the press! Check out the #CLAIM 2024 Update with guidance for #AI #authors, #reviewers, #researchers! The lates…

UCSF medical student and 0.55T lung MRI researcher, Felicia Tang, commenting on her recent research and potential future directions for lung MR:

RT @AIHealthMIT: 3⃣ @Varal7, @adamjfisch, @TalSchuster, @AdamYala, @sohn522, along w/ #JameelClinic PIs Tommi Jaakkola & @BarzilayRegina p…

RT @radiology_rsna: In this editorial, Drs. @sohn522 and @bkkfields discuss the study by Pan and Hu et al for predicting preinvasive, minim…

RT @XiaoWuMD: Being able to work on and finish an RCT during residency has been a dream come true! Wouldn’t have been possible without our…

RT @RadsUcsf: Presenting the entering class of 2025, UCSF Radiology

RT @SusannaLeeRad: We're launching with our first issue this month! Please keep those excellent research manuscripts coming 🙏 https://t.co…

Good to see you all in person in Chicago! #RSNA23 #TeamDinner @UCSFimaging