#RAG is a promising approach to enhance #LLM capabilities for radiology knowledge tasks doi.org/10.1148/ryai.2… RadioGraphics Andreas Rauschecker @UCSFImaging #LLMs #NLP #ML

Enhancing Large Language Models with Retrieval-augmented Generation: A Radiology-specific Approach doi.org/10.1148/ryai.2… Dane Weinert, MD Andreas Rauschecker UCSF Center for Intelligent Imaging #LLMs #DeepLearning #NLP

#RAG is a promising approach to enhance #LLM capabilities for radiology knowledge tasks doi.org/10.1148/ryai.2… Dane Weinert, MD Andreas Rauschecker @UCSFImaging #AI #ML #MachineLearning

RadioGraphics augmenting large language models. #NLP #LLM #DeepLearning #MedEd 👍👍 A career lesson for radiologists (& residents/fellows) to keep studying in order to generate better answers for your patients. pubs.rsna.org/page/radiograp…

Harvard has set an example for other higher-ed institutions – rejecting an unlawful and ham-handed attempt to stifle academic freedom, while taking concrete steps to make sure all students at Harvard can benefit from an environment of intellectual inquiry, rigorous debate and

I endorse Harvard's decision to fight the astonishing list of demands being forced on it by the Trump administration. I'm currently working on statement and op-ed with my fellow Co-Presidents of the Council on Academic Freedom at Harvard Carlos Henriques explaining the threat in the demands

One System to Rule Them All? Task- and Data-specific Considerations for Automated Data Extraction doi.org/10.1148/ryai.2… Andreas Rauschecker #LLMs #RAG #MachineLearning

A #radiology-specific #RAG used a vector database of 3689 RadioGraphics articles doi.org/10.1148/ryai.2… Andreas Rauschecker @UCSFImaging UCSF Center for Intelligent Imaging #LLM #LLMs #ML

Commentary on open-weight #LLMs and #RAG for data extraction doi.org/10.1148/ryai.2… Andreas Rauschecker #AI #ML #MachineLearning

They say the best things in life are worth waiting for...so we're giving you 3 more weeks to submit your abstract for ASFNR 🎉 Don't miss this chance to present your #neurorad research in Austin this fall! Submit here: forms.gle/i8EAcMhLgS4gFr…

A #radiology-specific #RAG used a vector database of 3689 RadioGraphics articles doi.org/10.1148/ryai.2… Andreas Rauschecker @UCSFImaging UCSF Center for Intelligent Imaging #LLMs #ML #MachineLearning

#RAG is a promising approach to enhance #LLM capabilities for radiology knowledge tasks doi.org/10.1148/ryai.2… Andreas Rauschecker @UCSFImaging UCSF Center for Intelligent Imaging #LLMs #AI #MachineLearning

Fascinating talk by Dr. Andreas Rauschecker Andreas Rauschecker at #ASNR25 on “Applications of AI in Radiology Workflow Optimization and Efficiencies: Do We Have the Evidence?” — showcasing real-world integration at UCSF! #AIinRadiology #Neuroradiology UCSF Imaging The American Society of Neuroradiology

Highlight of the last day of #ASNR25, Andreas Rauschecker giving a compelling talk on the implementation of AI in radiology workflow featuring two examples; image protocoling and PACS-integrated brain metastasis detection!

Congrats to the wonderful UCSF Imaging graduating #neurorad fellows and clinical instructors, and the fantastic senior #radres as well! What a fun night celebrating your hard earned accomplishments. It is truly a joy and a privilege to work everyday with the rad leaders of tmrw!

Dear colleagues and friends, please join to Celebrate the life of Atul Butte on Saturday at 10am. Co-hosted by @ucsf, Stanford University Harvard University

On this fellowship Match Day, we are thrilled to welcome the UCSF Neuroradiology fellows entering class of 2026! We look forward to working with you!

We are so proud of our UCSF Neuroradiology Fellows! Congratulations to all - we know you will do great things and look forward to your amazing careers!

Great to see CPH students Xinyang Han and Radhika Balerao helping make #CHIL2025 a reality. @Ron_alfa of @Noetik_AI and John Axerio of @tempusai now describing the journey from idea to startup at the pre-conference on health AI builders. @ahli_cc @drdremdphd