New Nature Neuroscience Reconstructing language from fMRI scans, a significant advance in brain-computer interface. And the need "to enact policies that protect each person's mental privacy." [Used GPT-1] nature.com/articles/s4159… Jerry Tang Alexander Huth Amanda LeBel Shailee Jain

Congratulations to my best friends Maria Younes and Marc Ghanem for winning the Outstanding Researcher Award at the Inaugural lebamuniv Research Day 2023, for their noteworthy research contribution. You guys raised the bar! 💪🏻💪🏻

The more I explore the potential of GPT-4 in medicine, the more I realize that answering medical knowledge questions is uninteresting and probably not so important. More important, and more challenging, are things like medical notetaking and reasoning about clinical data. /1

🆕 Nature Biotechnology Continuous wearable ultrasound using #AI to auto-capture body deep tissue imaging and physiology during mobility for up to 12 hours nature.com/articles/s4158… @JackLin62608901 Sheng Xu group Joe Wang UCSD Engineering

Updated our preprint to add a map of retracted papers (11k) in PubMed (21m). There are clear clusters and we believe it's paper mill activity. E.g. there is a small island with 11% (!) retractions; we argue that the other 89% are all VERY suspicious and deserve further scrutiny.

Thrilled to share our latest machine learning studies just published in Neurosurgical Focus!🎉🌟 #AI #clinical_AI Mayo Clinic Graduate School of Biomedical Sciences Mayo Clinic Neuro Mohamad Bydon, M.D. Bernard Bendok, MD Dr. Alfredo Quiñones-Hinojosa Michael J. Link, MD Oluwaseun Akinduro kingsley Abode-Iyamah Jamie Van Gompel MD Michelle J. Clarke

I reached 10k citations recently, a goal of mine for many years. It’s a nice moment to reflect back, and I mostly feel bittersweet: (1) When I joined Google Brain back in 2020, I thought I'd stay for 10+ years, doing open-ended research and publishing papers. But the field has

Do you work on wearable devices, virtual reality, human-computer/brain interface, or other emerging technologies with clinical applications? We have a unique faculty position (at any level) open for you. facultypositions.stanford.edu/en-us/job/4946…

IIH highest gradient ever reported put together by superstars Marc Ghanem and Kareem M. El Naamani, MD Jefferson Neurosurgery Thomas Jefferson University Jefferson Health #IIH #Sinusstenting

Thrilled to congratulate our director Curt Langlotz on his new role as President at RSNA! Dr. Langlotz's expertise in medical informatics and AI will drive innovations benefiting diverse medical fields and accelerating better healthcare for all. Here's to an exciting year! 🎉

#ONSNew Transverse Sinus #Stenting for the Treatment of Idiopathic Intracranial Hypertension With a Pressure Gradient of 70 mm Hg: A Technical Note and Systematic Review by Marc Ghanem et al Jefferson Health Justin R. Mascitelli, MD, FAANS Laura K. Reed, MD Douglas Kondziolka #Idiopathicintracranialhypertension

Stanford has officially shut down for the holidays. 2023 was an amazing year for the lab (couldn't be prouder) and I'm excited to show you what's in the pipeline for next year soon. Happy holidays!

Our systematic review aims to identify and evaluate current research-based machine learning and deep learning models applied for spine surgery, specifically those predicting binary outcomes with a focus on their evaluation metrics. mdpi.com/2076-3425/13/1… #AI #Neuroscience

Our most recent systemic review on the #AI revolution in Stroke Care: 10-year trend shows significant increase in #AI literature pertaining #stroke care especially in the area of stroke diagnosis. Nabeel Herial, MD, MPH, FAHA, FAAN World Neurosurgery Journal Jefferson Health pubmed.ncbi.nlm.nih.gov/38185459/

Just published in EIC of the JNSPG our series of indirect CCFs ( Type B,C,D) through different routes TA, TV, SOV : 1- 77 cases , 71 treated only with Onyx 2- Occlusion rate 100% in TV and SOV and 75% in TA 3- Recurrence rate 0% SOV, 5.3% TV, 25% TA Put together by Kareem M. El Naamani, MD

Machine learning analysis of papers that the most successful (from NIH perspective) anesthesiologists publish. Fun little project while Marc Ghanem was waiting for his postdoc to begin. sciencedirect.com/science/articl… Stanford Anesthesiology

Provocative paper alert: We trained a foundation AI model (developed by Nigam Shah et al.) to generate proteomics data. No need to draw blood. We can now approximate proteomics data in millions of patients at the price of electricity. @briefingsbioinfo academic.oup.com/bib/article/25…

Using multimodal A.I. to more accurately predict a person's risk of cancer (and other conditions) by combining proteomics and electronic health records nature.com/articles/s4225… Nima Aghaeepour Nature Machine Intelligence open-access

We are featured on the cover of Nature Machine Intelligence! Article: nature.com/articles/s4225… Editorial: nature.com/articles/s4225…

Excited to share our new paper in Nature Medicine! Prematurity is the #1 cause of death in kids under 5. We show that AI can do more than predict outcomes — it can guide critical treatment decisions to improve outcomes. Press release: med.stanford.edu/news/all-news/…