Curt Langlotz
curtlanglotz.bsky.social
Curt Langlotz
@curtlanglotz.bsky.social
Director @StanfordAIMI, Sr Fellow @stanfordHAI, radiologist, machine learning geek, @RSNA past president, @StanfordBMI alum, author of The Radiology Report
Pinned
Two trivial critiques of this excellent story by the great @brian-casey.bsky.social: (1) due to RSNA succession rules, it was clear I would be president this year ever since I was elected to the board in 2016. (2) I don’t consider HIMSS a medical meeting; IMHO it’s an IT meeting. 🤓
By reporting #RSNA24 attendance of 40k at mid-week (up 18% over last year), the meeting appears to have pulled ahead of #HIMSS24 (35k) for the title of largest US medical meeting. #HIMSS23 claimed the title in 2023 (35k vs. 34k for #RSNA23). buff.ly/4f7RrN4
RSNA Goes All-In on AI | RSNA Attendance Up 18% - The Imaging Wire
RSNA goes all-in on AI, mammo AI pays off, patient prep speeds MRI, opportunistic CT screening, imaging costs still scare patients, and more.
buff.ly
Reposted by Curt Langlotz
🚨 Agentic Systems in Radiology

Everyone’s talking about agents🕵️‍♀️🕵️‍♂️ — but what happens when you bring them into real clinical workflows?

Our new preprint explores the design, applications, challenges, and evaluation of LLM-based agents and agentic workflows in radiology 👇

arxiv.org/abs/2510.09404
October 30, 2025 at 8:34 AM
Yes! A model trained with high quality healthcare data is usually better at a specific healthcare task than a general language model adapted to that task. www.nytimes.com/2025/10/16/o...
Opinion | Silicon Valley Is Investing in the Wrong A.I.
www.nytimes.com
October 18, 2025 at 2:05 PM
Reposted by Curt Langlotz
Don’t miss the free virtual MIDRC Seminar on Oct. 21, 2–2:45 p.m. CT! This month’s topic, Foundation Models in Radiology, will be presented by Drs. Curt Langlotz & Akshay Chaudhari. https://bit.ly/3Vw5GUz
October 13, 2025 at 9:14 PM
Reposted by Curt Langlotz
Radiologists are seeing significant reductions in radiograph reading times with the use of artificial intelligence-generated reports 📖

#radiology

@rasushrestha.bsky.social
@jimrawsonmd.bsky.social
@woojinkim.com

radiologybusiness.com/topics/artif...
Radiologists see significant reduction in reading times with AI-generated reports
Acceptability also increased considerably, “suggesting growing confidence in AI-generated reports over time,” experts write in JACR.
radiologybusiness.com
September 26, 2025 at 12:11 AM
👇
Magical Thinking on AI

Friedman is not wrong to worry about what's going to happen vis a vis the U.S., China, and AI. However, we need less magical thinking and more realism.

aiguide.substack.com/p/magical-th...
Magical Thinking on AI
A Response to Thomas Friedman's Recent AI Columns in the New York Times
aiguide.substack.com
September 17, 2025 at 12:41 AM
Reposted by Curt Langlotz
In this Stanford news article, @stanfordhai.bsky.social Senior Fellow @suryaganguli.bsky.social argues that universities are essential for understanding how AI works. Here, he outlines three reasons why: news.stanford.edu/stories/2025...
Three reasons why universities are crucial for understanding AI
There is a “fierce urgency” to understand how artificial intelligence works, says Stanford physicist Surya Ganguli, who is leading a project to bring the inner workings of AI to light through transpar...
news.stanford.edu
September 8, 2025 at 6:40 PM
Reposted by Curt Langlotz
📸 Today from DC: @stanfordhai.bsky.social Faculty Affiliate Michelle Mello testified in Congress on AI in healthcare. To boost AI adoption, she discussed policy changes that could build trust in AI's performance. Read her testimony here: bit.ly/4ngI56k
September 3, 2025 at 5:19 PM
Reposted by Curt Langlotz
Good to see @bsky.app has emerged as the social media platform of choice for science stuff
arstechnica.com/science/2025...
Bluesky now platform of choice for science community
It’s not just you. Survey says: “Twitter sucks now and all the cool kids are moving to Bluesky”…
arstechnica.com
August 27, 2025 at 5:33 PM
Reposted by Curt Langlotz
The phrase "artificial Intelligence" was born exactly 70 years ago.

Wow. 🤯
September 1, 2025 at 1:25 PM
Reposted by Curt Langlotz
Some generative A.I. tips for patients
www.wsj.com/opinion/a-ch...
August 30, 2025 at 2:09 PM
Reposted by Curt Langlotz
📣 Announcing the AI for Organizations Grand Challenge, a new competition for scholars to help organizations enter the era of AI. GoogleDeep Mind and @stanfordhai.bsky.social invite researchers from any university worldwide to submit your boldest ideas. Learn more: hai.stanford.edu/aiogc
August 18, 2025 at 3:00 PM
Reposted by Curt Langlotz
Congratulations to HAI Senior Fellow @suryaganguli.bsky.social on leading the new @simonsfoundation.org Collaboration on the Physics of Learning and Neural Computation! The collaboration will study the fundamental scientific principles underlying AI. www.simonsfoundation.org/2025/08/18/s...
August 18, 2025 at 5:00 PM
Reposted by Curt Langlotz
RadGPT helps patients understand their radiology reports. “We hope that our technology won’t just help to explain the results, but will also help to improve the communication between doctor and patient,” said @curtlanglotz.bsky.social, senior author of the study. hai.stanford.edu/news/new-lar...
New Large Language Model Helps Patients Understand Their Radiology Reports | Stanford HAI
‘RadGPT’ cuts through medical jargon to answer common patient questions.
hai.stanford.edu
August 19, 2025 at 7:51 PM
Medicine needs Neuro-Bayesian AI (paywall): www.wsj.com/articles/mee...
www.wsj.com
August 13, 2025 at 1:35 PM
Reposted by Curt Langlotz
Good timing too as the FDA yesterday released its updated list of AI-enabled medical devices that have received marketing authorization.
July 11, 2025 at 6:23 PM
Reposted by Curt Langlotz
📣 Our new PadChest-GR benchmark in collaboration with @ua.es and MedBravo is published in @ai.nejm.org: ai.nejm.org/doi/full/10....!
📰 Also check out our blog post for why we're so excited about it: www.microsoft.com/en-us/resear...
💾 The dataset can be downloaded here: bimcv.cipf.es/bimcv-projec...
June 26, 2025 at 5:01 PM
Reposted by Curt Langlotz
A new large language model called “RadGPT” can help patients understand their radiology reports. Learn how a team of Stanford researchers developed the model: hai.stanford.edu/news/new-lar...
New Large Language Model Helps Patients Understand Their Radiology Reports | Stanford HAI
‘RadGPT’ cuts through medical jargon to answer common patient questions.
hai.stanford.edu
July 3, 2025 at 7:33 PM
Reposted by Curt Langlotz
We're taking a big step towards medical superintelligence. AI models have aced multiple choice medical exams – but real patients don’t come with ABC answer options. Now MAI-DxO can solve some of the world’s toughest open-ended cases with higher accuracy and lower costs.
June 30, 2025 at 1:01 PM
Reposted by Curt Langlotz
This research is just the first step on a long, exciting journey. We’re excited to keep testing and learning with our healthcare partners in pursuit of better, more accessible care for people everywhere. More on the blog today: microsoft.ai/new/the-path...
The Path to Medical Superintelligence  | Microsoft AI
microsoft.ai
June 30, 2025 at 1:01 PM
Reposted by Curt Langlotz
The National Academy of Medicine Shared Commitments provide common-ground expectations for the integrative benefits of learning health systems, which align science, incentives, and culture to facilitate continuous improvement. Full Sounding Board article: nej.md/44js5Zv

@nam.edu #MedSky
June 25, 2025 at 3:08 PM
Reposted by Curt Langlotz
The promise and problems with multi-cancer early detection tests
by Sid Mukherjee @newyorker.com
www.newyorker.com/magazine/202...
The Catch in Catching Cancer Early
New blood tests promise to detect malignancies before they’ve spread. But proving that these tests actually improve outcomes remains a stubborn challenge.
www.newyorker.com
June 16, 2025 at 2:17 PM
Reposted by Curt Langlotz
FDA issues final order reclassifying radiological CAD software

www.auntminnie.com/imaging-info...
FDA issues final order reclassifying radiological CAD software
Computer-assisted detection (CAD) and diagnosis algorithms used in radiology move from the class III to the class II category.
www.auntminnie.com
June 14, 2025 at 6:51 PM
Congratulations to @erichorvitz.bsky.social and team—such nice work. AI + human is still better than either one alone if the collaboration is well designed.
Study on clinician-AI collaboration: "As LLMs now demonstrate expert-level diagnostic performance, the focus shifts from whether AI can offer valuable suggestions to how it can be effectively integrated into the diagnostic workflow..." Many opportunities ahead.

www.medrxiv.org/content/10.1...
June 10, 2025 at 3:55 AM