🔥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

Happy to have helped organize a comprehensive cardiology event Albany Med Health System, focusing on the complexities of the aging heart #ACCInTouch #AmeriGeriatrics #MedTwitter Giuliana Mertz

🤖Do you want to use ChatGPT as a healthcare provider but don't know where to start, or do you want to get more out of it? In our newest editorial, we give tips and tricks on prompting in ChatGPT: academic.oup.com/eurjcn/advance… accentVV Philip Moons Brigitte Durieux Josh Davis

Thrilled to present our work on using Large Language Models for scalable symptom tracking in neuropalliative care at INPCS24! Exciting potential for AI to improve patient care. International Neuropalliative Care Society Lindvall Lab #palliativecare #neurology #LLM #AIinHealthcare

Of over 500 LLM #AI reports in healthcare, only 5% used real patient data. jamanetwork.com/journals/jama/… JAMA Nigam Shah

Great work! Brigitte Durieux

Impressive use of NLP in oncology!

🚨 Can LLMs identify Goals of Care (GOC) in cancer care documentation? 💻 Our latest study shows GPT-4o excels at extracting Advance Care Planning (ACP) details from clinical notes! Journal of Pain and Symptom Management (JPSM) 1/2

Original Article by T.-L. Liu et al.: Does AI-Powered Clinical Documentation Enhance Clinician Efficiency? A Longitudinal Study nejm.ai/4g92VS5 #AIinMedicine

Read this week’s #EAPCblog by Charlotta Lindvall to find out more about AI and contributing to the upcoming special edition of Palliative Medicine on Digital Health in Palliative Care! bit.ly/3Wkllal Lindvall Lab Amara Nwosu - Palliative Care & Technology @COstgathe Catherine Walshe Palliative Medicine

🎉 We're thrilled to announce the general release of three de-identified, longitudinal EHR datasets from Stanford Medicine—now freely available for non-commercial research-use worldwide! 🚀 Read our HAI blog post for more details: hai.stanford.edu/news/advancing… 𝗗𝗮𝘁𝗮𝘀𝗲𝘁

9 months ago Color partnered with OpenAI and UC San Francisco to bring world-class cancer expertise to everyone. To achieve this, we designed a novel architecture that safely integrates GenAI into clinical practice. We call it a “Large Language Expert” (LLE). 🧵

An open-source LLM performed comparably to GPT-4 in generating differential diagnoses for complex cases, indicating that high-performing, locally-deployable custom models can enhance clinical decision support while ensuring data privacy and flexibility. ja.ma/4bGTyHx

Hypoactive delirium—characterized by withdrawal, lethargy, and decreased responsiveness—is missed up to 75% of the time. Why? Because these patients don't "cause trouble." They lie quietly, often dismissed as "just tired" or "a bit down." These are the patients we're failing

You can just continue pre-train things ✨ Happy to announce the release of BioClinical ModernBERT, a ModernBERT model whose pre-training has been continued on medical data The result: SOTA performance on various medical tasks with long context support and ModernBERT efficiency

🚀Announcing BioClinical ModernBERT, a SOTA encoder for healthcare AI, developed by Thomas Sounack Thomas Sounack for Dana-Farber Cancer Institute in collaboration with Harvard University, LightOn, Massachusetts Institute of Technology (MIT), McGill University, Albany Med Health System, Microsoft Research. Seamless continued pre-training enables SOTA

BioClinical ModernBERT is out! Built on the largest, most diverse biomedical/clinical dataset to date ‼️Delivers SOTA across the board Thrilled to be part of this effort led by Thomas Sounack