🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Introducing our first set of Llama 4 models! We’ve been hard at work doing a complete re-design of the Llama series. I’m so excited to share it with the world today and mark another major milestone for the Llama herd as we release the *first* open source models in the Llama 4

🚀 Let’s take imaging informatics to New Heights at #SIIM25! Pouria Rouzrokh, MD,ManaMoassefi, and I will be leading a Deep Learning Lab on #Agentic #AI in #Radiology. Looking forward to see you there! 📅 May 21–23 📍 Portland, OR 🔗 lnkd.in/gJKdUJRJ 🔗annualmeeting.siim.org/sessions/colla…

Shahriar Faghani MD Brad Erickson propose a method to increase trust in medical #DeepLearning tools doi.org/10.1148/ryai.2… Mayo Clinic Radiology #brain #XAI #MachineLearning

Free education- my favorite thing to do! 😇 (Impactful? Well.... you can be the judge of that 😂) Studies ordered to evaluate back pain and the degenerative and postoperative spine comprise a large percentage of the studies read by radiologists in diverse practice settings and

Heading to Portland May 21–23 for #SIIM25! I’ll be hosting a session titled "Navigating the FDA Maze: Future Challenges in AI Regulation" —come learn, connect, and help us reach New Heights in Imaging Informatics. SIIM 🌐 More info → annualmeeting.siim.org

We’ve completed a proof-of-concept study using narrow #AI to demonstrate that diagnosing #endometriosis is possible—regardless of disease severity and without relying on lesion detection. link.springer.com/article/10.100…

🚨New in @Radiology_RSNA In 17,646 patients, sarcopenia was detected on CT in 28.5% but coded in EHR in just 0.05%. Sarcopenic obesity? 5.7% vs. 0% CT+AI exposes major gaps in documentation. shorturl.at/u0iIb Rad In Training Editor Victoria Chernyak, MD MS FSAR FESGAR FACR Linda Moy Stanford Radiology Akshay Chaudhari

✏️ In this paper we explored the idea of using deep learning as a teaching tool to improve radiologists’ ability to learn new imaging biomarkers and features. Mayo Clinic Radiology Shahriar Faghani MD Brad Erickson MayoAILab #radiology #AI sciencedirect.com/science/articl…

Original Article Deep learning analysis of magnetic resonance imaging accurately detects early-stage perihilar cholangiocarcinoma in patients with primary sclerosing cholangitis Singh et al. #LiverX tinyurl.com/5n7jy7vc

New! The #ASNR/#ASFNR AI Workshop has added a virtual attendance option! This remote-attendance option is designed for those who want to learn from leaders in the field without presenting or completing a project. Get more details and register here: ow.ly/zJ7t50VEUTN

Shahriar Faghani MD Brad Erickson present Mondrian conformal prediction to estimate certainty in intracranial hemorrhage detection doi.org/10.1148/ryai.2… Mayo Clinic Radiology #NeuroRad #AI #ML

Humbled that Najva App has hit 1000+ users! I've dictated 100K+ words with it - it's become an inseparable part of my workflow. Voice-to-text + LLM is the ultimate productivity tool. Try it yourself (always free) and feel the magic! 🎙️✨ najva.brdkhsrv.com

“Periodic table of machine learning” could fuel AI discovery 😎 MIT researchers have created a periodic table that connects over 20 classical machine-learning algorithms, revealing how they can be combined to improve AI models. This framework, based on a unifying equation,

Excited to share our upcoming RSNA deep learning lab on "Multi-agent AI Frameworks" for radiology! Thanks to Moein Shariatnia & Melina Hosseiny, MD who will be my co-presenters in this session. Eager to build your own agents?! Join us in Chicago to learn how! 🏙️💫 #RSNA2025

Deadline approaching fast for great opportunity to present your cutting-edge research at @ASFNR annual meeting. 8 travel grants of $1000 each to top 8 abstracts (for trainee presenters) in oral paper category apart from the top paper getting John L Ulmer award.

Excited to share our new review on #GenerativeAI in Medicine! This thorough (20-page) guide is written for all medical professionals, demystifying AI from core concepts (like neural networks) to recent Gen-AI hot topics like RAG & agents. No prior AI background needed. The

A #DeepLearning model associates increase in CXR-Lung-Risk score with 2x higher risk of respiratory disease mortality doi.org/10.1148/ryai.2… Eduardo Farina Paulo Kuriki, MD #mortality #CXR #MachineLearning

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 big day – we are making the largest dataset of chest X-rays available to the world. This is the first dataset to cross 100k patients. huggingface.co/datasets/rajpu…

Divya Ramakrishnan, MD, MHS Editor - Neuro-Oncology Advances Ali Nabavizadeh Brent Weinberg, MD, PhD Mariam Aboian Jan Lost Leon Jekel Niklas TIllmanns Sara Merkaj Gabriel Cassinelli AJNR Melissa Davis Michele H Johnson MD John Jordan MD Arman Avesta, MD, PhD Scientific Reports Current Problems in Diagnostic Radiology AAR RRA_AUR Mayo Clinic Radiology Ohio State Radiology The University of Chicago Academic Radiology RSNA Mayo Clinic ARPA-H Mai-Lan Ho Yueh Z. Lee, MD/PhD Anugayathri Jawahar Casey Amelia Cappelletti Renee Lynn Cruea @Acadrad HHS.gov Justin Cramer Mayo Radiology Arizona Mayo Clinic Alix School of Medicine Bioengineering MDPI Siemens Healthineers Harrison Lang, MD Nick Matthees von Reppert M,…; IBSR Consortium;…Aboian MS. Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases using MRI-Based Radiomic Features. AJNR Am J Neuroradiol. 2025 Apr 18. PMID: 40250848. pubmed.ncbi.nlm.nih.gov/40250848/ 🧠#iiAcademic 🙏#ImagineQuant