I mean no disrespect to any of the authors in this thread but the claims being made are wild and/or taken out of context. The AgentClinic dataset is based on an online dataset (read contamination) I helped create, from a resource aimed at helping medical students study for the

This year's RSNA Lumbar Spine #AI challenge on Kaggle is now our biggest competition ever, with 1730 (and counting) teams submitting entries. Still two weeks to go and tons of activity. Come join in the fun! kaggle.com/competitions/r…

Thrilled to be selected as a finalist for the ACC YIA Competition with our AI research in echocardiography! Grateful to every member in this Mayo-Stanford collaboration for their contributions. Mayo Clinic CV Stanford HAI Fei-Fei Li Ehsan Adeli Curt Langlotz Imon Banerjee

A decade of innovation and learning has perfectly positioned this new workforce to lead the safe, equitable, & meaningful translation of AI into the clinical setting. The future of healthcare is here and we're ready to lead the way! #ClinicalInformatics #AIinMedicine

A special thank you to SAR and FAARDIT - Federación Argentina de Radiología for hosting me at #CADI2025. It was a pleasure to represent RSNA in Buenos Aires and to learn about all the latest developments in radiology in Argentina. CADI Argentina Stanford AIMI

We are hiring at Stanford in Body Imaging! We are looking for an exceptional Body Imager to join our amazing team. If you enjoy working with collegial, fun, and highly accomplished colleagues and incredible trainees, you’ll fit right in!

Congratulations Geoffrey Hinton on the Nobel Prize for “discoveries and inventions that enable machine learning with artificial neural networks”! No doubt your #MRI (read by a human?) can be rescheduled. Would love to hear your latest thoughts on how AI will affect radiologists.

Nice high-level overview, and great to see our work featured in the State of AI 2024! Pierre Chambon Curt Langlotz Akshay Chaudhari #syntheticdata

Thrilled environmental sustainability was a key discussion topic at the Radiology R7 meeting in Venice. Honored to represent @CARadiologists with @kielar_ania and Julian Dobranowski 🇨🇦🇮🇹🇩🇪🇯🇵🇫🇷🇺🇸🇬🇧🇪🇺 Stephen Harden Kath Halliday Curt Langlotz RSNA myesr The Royal College of Radiologists

nvidia casually dropped an open 70B model that beats gpt-4o and claude 3.5 sonnet

Build intelligent connections by registering for #RSNA24 today! bit.ly/2JT3uCf Curt Langlotz

Our latest work improves chest x-ray report generation with LLM alignment tools! We build a scalable preference fine-tuning pipeline to improve automated metrics + expert rad. win rates—all WITHOUT any radiologist feedback. Preference alignment w/o needing human preference. 1/3

Only a week left to submit to the 💠Stanford Graph Learning Workshop 2024!💠 Join leaders from academia and industry to explore the latest in Machine Learning and AI. Topics include Relational domains, Foundation Models, Agents, and more. Tuesday, Nov 5, 2024, 09:00 - 18:00 PT.

Amazing graphical representation of a neural net, never seen anything like it.

Recognizing the women scientists who laid the groundwork for recent #AI The Nobel Prize in Chemistry and Physics —Helen Berman, who started the Protein Data Bank, used for #AlphaFold (Demis Hassabis and John Jumper) nature.com/articles/d4158… —Fei-Fei Li who built ImageNet, foundation

Excited to share "General-purpose foundation models for increased autonomy in robot-assisted surgery" in Nature Machine Intelligence , from IMERSE Lab @JHU lab. 🚀 We envision the future of autonomous surgery through the development of vision-language-action models for surgical systems 🧵1/6

So proud of the release of the GREEN metric. See what you can do when you merge medical AI research and open-sourceness. 26,000 downloads on 🤗 Hugging Face and counting. 🟥 EMNLP proceedings: aclanthology.org/2024.findings-… 🤗 Dataset: huggingface.co/datasets/Stanf… 🤗 Models:

As we look forward to all that lies ahead of #StanfordAIMI in 2025, we're also reflecting on our progress in 2024. Read details in this year-in-review message from AIMI Center Director Curt Langlotz: stanford.io/3PDSAlh

Just noticed our lightweight RRG model has been downloaded over 92,000 times over the past month on 🤗HuggingFace. This model was included in the CheXpert-Plus release and contains just 67 million parameters: huggingface.co/IAMJB/chexpert… Its also a top ranking model on RexRank

Excited to share our new paper published in Nature on how multimodal generative ai is transforming the interpretation of medical images (radiology and others)!