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Curt Langlotz

@curtlanglotz.bsky.social
1.2K followers 407 following 59 posts

Director @StanfordAIMI, Sr Fellow @stanfordHAI, radiologist, machine learning geek, @RSNA past president, @StanfordBMI alum, author of The Radiology Report

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Curt Langlotz @curtlanglotz.bsky.social · 01/08/2026
Thanks @doctorow.pluralistic.net for highlighting the effects of AI on radiologists and congratulations on being disease free. You are right that detection algorithms cost more and take a little longer. A couple of edits to the rest of your story though: 1/3
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Curt Langlotz @curtlanglotz.bsky.social · 01/06/2026
Excited to speak at Stanford’s RAISE Health Symposium tomorrow, hosted by @stanfordmedicine.bsky.social and @stanfordhai.bsky.social. I’m looking forward to a lively panel debating replacement, augmentation, deskilling, equity, access and much more. Hope you can join us: stan.md/raisehealth
stan.md
Personal Information - 2026 RAISE Health Symposium
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Bob Wachter @bobwachter.bsky.social · 06/04/2026
In Health Affairs Scholar, Bob Kocher, Siobhan Nolan Mangini (both of Venrock) and I argue that – by scaling specialist-level knowledge – AI will create, in essence, the "generalist-specialist." We explore the far-reaching implications for healthcare. academic.oup.com/healthaffair...
academic.oup.com
How AI Will Redefine Care Delivery: The Rise of the Generalist-Specialist
Abstract. Artificial intelligence is transforming healthcare beyond efficiency gains, presenting an opportunity to fundamentally reorganize the clinical wo
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Alondra Nelson @alondra.bsky.social · 05/04/2026
Sharp piece from @marietjeschaake.bsky.social in FT on Trump as AI "regulator-in-chief," not a deregulator. The EU regulates using democratic process; the US under Trump shapes AI by executive fiat. As I've argued, this is not light-touch regulation, it's "hyper-regulation by other means."
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Brian Casey @brian-casey.bsky.social · 01/04/2026
This month's Geoffrey Hinton Prize for AI Punditry goes to a trio of health system CEOs who said they would be open to replacing their radiologists with AI – if the government allowed it. Congratulations to all, you've earned it! #radiology
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Lena Maier-Hein @lena-maier-hein.bsky.social · 19/03/2026
💰 €1M award pool for Medical Imaging AGI’s Last Exam (MEDAL) Medical AI papers are booming - but are we solving the right problems? Too often, research follows available data, not real clinical needs.
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Prasad Jallepalli, MD, PhD @prasad.bsky.social · 13/03/2026
we are losing so much talent, progress, and hope for no good reason www.vox.com/future-perfe...
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Dean Eckles @eckles.bsky.social · 09/03/2026
Academic fields differ in their degree of consensus about what "better" publication venues are — here shown both for consensus about the "top 5" and for pairwise choices. Hello #econsky :) arxiv.org/abs/2603.00807 @jugander.bsky.social @danlarremore.bsky.social @aaronclauset.bsky.social
Figure 2: Fields vary widely in their consensus around top-5 venues and the general alignment of their prefer- ences. Whether one uses a field-level ranking constructed from the pairwise comparisons of all respondents in a field to predict an individual’s pairwise comparisons (horizontal axis) or assesses the degree to which individuals in a field agree on a top-5 (vertical axis), some fields (e.g. Economics) demonstrate a much more overlapping and organized set of preferences than others (e.g. Computer science).
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Radiological Society of North America @rsnasky.bsky.social · 27/02/2026
RSNA’s Board of Directors is looking for dedicated leaders ready to advance radiology. Open positions begin December 2026. Nominations are accepted until March 20, 5 p.m. CT. Encourage a colleague or submit your own nomination to help shape the future of the field: bit.ly/3UR8Pze
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Eric Topol @erictopol.bsky.social · 24/02/2026
The imperiled peer review system @carlbergstrom.com @plosbiology.org journals.plos.org/plosbiology/... open-access
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Tan-Lucien Mohammed, MD, FACR @tlhm-md.bsky.social · 02/02/2026
2/ Beverly G Coleman, MD, FACR - first Black woman elected President of American College of Radiology - ACR Board of Chancellors (2014-2020) - first director of fetal imaging CHOP - Past chair of @nationalmedassn.bsky.social Section on Radiology & Radiation Oncology #BlackHistoryMonth  #BHM
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I-75 Scientist @flscitriguy.bsky.social · 29/01/2026
👇New biosketch requirement update. “After evaluating the number and types of recent technical inquiries we received to both the SciENcv and eRA Service Desks, we recognize the difficulties these issues have had on the community’s ability to comply with the original timeline of January 25, 2026.” 👇
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Brian Casey @brian-casey.bsky.social · 23/01/2026
Umar Mahmood, MD, PhD, has been named chair of the Stanford Medicine Department of Radiology. Dr. Mahmood is an internationally recognized clinician and researcher, specializing in molecular imaging. med.stanford.edu/radiology/ne...
med.stanford.edu
Umar Mahmood Appointed Chair of Stanford Radiology
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Jeremy Berg @jeremymberg.bsky.social · 20/01/2026
Now for the money... Overall, the budget is essentially flat. The biggest winner is NINDS with a 5.9% increase. The biggest losers are NIEHS and NIDDK. 4/5
A table of funding for fiscal year 2025 and proposed for fiscal year 2026 by institute and center.
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Brian Casey @brian-casey.bsky.social · 12/01/2026
Our top stories this week in The Imaging Wire: - Some Rads Are Working Harder – But Not All - AI Will Reduce Radiologist Workloads - AI Reduces Breast Screening Workload - Physician Shortage Strains U.S. Healthcare Read more at theimagingwire.com/newsletter/s.... #radiology #RadSky
theimagingwire.com
Some Rads Are Working Harder, AI’s Value, and Missed Screenings - The Imaging Wire
Some rads are working harder, AI to the rescue, U.S. physician shortage, AI improves accuracy, Medicaid cuts to reduce cancer screening, and more.
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Chris Bail @chrisbail.bsky.social · 08/01/2026
Dr. Nicholas Christakis (@nachristakis.bsky.social ) will be joining us as a Keynote Speaker at the Conference on Society-Centered AI 2026 Feb 12-14th! Learn more and Register here: sites.duke.edu/scai/
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Nicholas A. Christakis @nachristakis.bsky.social · 03/01/2026
How should you think about writing an email to a busy person? One rule is that you should spend at least ten times the time writing it as the other person will have to spend reading it. And there are other rules, too. www.youtube.com/watch?v=te2O...
youtube.com
How to Write an Email
YouTube video by For the Love of Science
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Nicholas A. Christakis @nachristakis.bsky.social · 03/01/2026
What is the feeling of discovery like, as a scientist? How is it unlike any other feeling a person can have? How uncommon is it? www.youtube.com/watch?v=cdHP...
youtube.com
The Feeling of Discovery
YouTube video by For the Love of Science
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Nicholas A. Christakis @nachristakis.bsky.social · 03/01/2026
In 2026, I am launching a vlog, For the Love of Science, about working aspects of being a scientist - the joys and challenges, the practical aspects and mental and emotional qualities it involves. It's on YouTube (at @NAChristakis) and Instagram (at @OnTheLoveofScience) www.youtube.com/@NAChristakis
youtube.com
For the Love of Science
Weekly videos about the craft of science. A Human Nature Lab science outreach effort.
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Andrew Carroll @acarroll.bsky.social · 24/12/2025
I've been thinking about the "virtual cell" concept and wanted to write up a few thoughts. Specifically on how I think the prior experience in GWAS informs the most likely way these models will be useful. andrewcarroll.github.io/2025/12/23/t...
andrewcarroll.github.io
The Virtual Cell Will Be More Like Gwas Than Alphafold
There has been significant discussion recently on the concept of the “virtual cell.” I want to summarize the key concepts regarding what the field wants from a virtual cell and the challenges we face....
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Curt Langlotz @curtlanglotz.bsky.social · 22/12/2025
Definitely true in medicine: When the costs of failure are high, the demo to product interval is long (e.g., Waymo).--Andrej Karpathy on the @dwarkesh.skystack.xyz podcast.
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SIEPR @siepr.bsky.social · 11/12/2025
📢 This just in: Round 2 of "The Digitalist Papers," a deep dive into the economics of #AI from @erikbryn.bsky.social's @stanforddel.bsky.social. Essays from SIEPR's Susan Athey and Ramin Toloui, among others. Link below.
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Jacobs Center for Health Innovation @UC San Diego Health @jchi-ucsd.bsky.social · 09/12/2025
Catch JCHI Exec Director @kdpsingh.bsky.social @ucsdhealth.bsky.social Dec 10, 1 p.m. PST for a virtual keynote at Stanford AI+HEALTH Conference. A great lineup on the latest in AI and healthcare. Register ⬇️ medhub.stanford.edu/event/aiheal...
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Curt Langlotz @curtlanglotz.bsky.social · 30/11/2025
Thanks @rasushrestha.bsky.social—great way to find our radiology peeps on @bsky.app! #RSNA25
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Christian Bluethgen @cxbln.bsky.social · 30/10/2025
🚨 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
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Curt Langlotz @curtlanglotz.bsky.social · 18/10/2025
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...
nytimes.com
Opinion | Silicon Valley Is Investing in the Wrong A.I.
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Radiological Society of North America @rsnasky.bsky.social · 13/10/2025
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. bit.ly/3Vw5GUz
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Tan-Lucien Mohammed, MD, FACR @tlhm-md.bsky.social · 26/09/2025
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...
radiologybusiness.com
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.
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Curt Langlotz @curtlanglotz.bsky.social · 17/09/2025
👇
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Stanford HAI @stanfordhai.bsky.social · 08/09/2025
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...
news.stanford.edu
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...
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Stanford HAI @stanfordhai.bsky.social · 03/09/2025
📸 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
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Eric Topol @erictopol.bsky.social · 27/08/2025
Good to see @bsky.app has emerged as the social media platform of choice for science stuff arstechnica.com/science/2025...
arstechnica.com
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”…
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Dr Rasu Shrestha @rasushrestha.bsky.social · 01/09/2025
The phrase "artificial Intelligence" was born exactly 70 years ago. Wow. 🤯
The phrase "artificial Intelligence" was born on this day 70 years ago.

The phrase "artificial intelligence" was coined by computer scientist John McCarthy in 1955. He used the term in a proposal for the 1956 Dartmouth Summer Research Project on Artificial Intelligence, a workshop that is widely considered the founding event of the field. 

About the Dartmouth workshop
The proposal: In 1955, McCarthy, along with Marvin Minsky, Nathaniel Rochester, and Claude Shannon, proposed the idea that "every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it".
The event: The two-month workshop took place in the summer of 1956 at Dartmouth College.
The attendees: The workshop brought together key researchers who became leaders in early AI research and discussed how machines could use language, form abstractions, solve problems typically done by humans, and improve themselves.
The legacy: The Dartmouth workshop solidified AI as an academic field and set its initial goals.
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Eric Topol @erictopol.bsky.social · 30/08/2025
Some generative A.I. tips for patients www.wsj.com/opinion/a-ch...
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Stanford HAI @stanfordhai.bsky.social · 18/08/2025
📣 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
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Stanford HAI @stanfordhai.bsky.social · 18/08/2025
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...
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Stanford HAI @stanfordhai.bsky.social · 19/08/2025
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...
hai.stanford.edu
New Large Language Model Helps Patients Understand Their Radiology Reports | Stanford HAI
‘RadGPT’ cuts through medical jargon to answer common patient questions.
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Curt Langlotz @curtlanglotz.bsky.social · 13/08/2025
Medicine needs Neuro-Bayesian AI (paywall): www.wsj.com/articles/mee...
wsj.com
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Brian Casey @brian-casey.bsky.social · 11/07/2025
Good timing too as the FDA yesterday released its updated list of AI-enabled medical devices that have received marketing authorization.
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Curt Langlotz @curtlanglotz.bsky.social · 11/07/2025
Such important work! www.nature.com/articles/s41...
nature.com
How AI is used in FDA-authorized medical devices: a taxonomy across 1,016 authorizations - npj Digital Medicine
npj Digital Medicine - How AI is used in FDA-authorized medical devices: a taxonomy across 1,016 authorizations
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Daniel Coelho de Castro @dccastr0.bsky.social · 26/06/2025
📣 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...
ai.nejm.org
PadChest-GR: A Bilingual Chest X-Ray Dataset for Grounded Radiology Report Generation
Artificial intelligence (AI)–powered radiology report generation (RRG) aims to create free-text radiology reports from clinical imaging. Grounded radiology report generation (GRRG) augments RRG by ...
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Curt Langlotz @curtlanglotz.bsky.social · 10/07/2025
Oops
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Stanford HAI @stanfordhai.bsky.social · 03/07/2025
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...
hai.stanford.edu
New Large Language Model Helps Patients Understand Their Radiology Reports | Stanford HAI
‘RadGPT’ cuts through medical jargon to answer common patient questions.
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Mustafa Suleyman @mustafasuleymanai.bsky.social · 30/06/2025
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.
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Mustafa Suleyman @mustafasuleymanai.bsky.social · 30/06/2025
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...
microsoft.ai
The Path to Medical Superintelligence  | Microsoft AI
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NEJM.org @nejm.org · 25/06/2025
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
A diagram illustrating the learning health system at work
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Eric Topol @erictopol.bsky.social · 16/06/2025
The promise and problems with multi-cancer early detection tests by Sid Mukherjee @newyorker.com www.newyorker.com/magazine/202...
newyorker.com
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.
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Woojin Kim, MD @woojinkim.com · 14/06/2025
FDA issues final order reclassifying radiological CAD software www.auntminnie.com/imaging-info...
auntminnie.com
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.
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Curt Langlotz @curtlanglotz.bsky.social · 10/06/2025
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.
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Curt Langlotz @curtlanglotz.bsky.social · 10/06/2025
Congratulations to the authors—such nice work. AI + human is still better that either one alone if the collaboration is well designed.
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