Majid Afshar (@majeans2011) 's Twitter Profile
Majid Afshar

@majeans2011

Clinical informatics and ICU physician-scientist with a focus in NLP translation. Substance misuse and/or critical care research

ID: 244315560

calendar_today29-01-2011 01:31:16

316 Tweet

277 Followers

369 Following

Shan Chen (@shan23chen) 's Twitter Profile Photo

Here are some reflections on many studies we did this year. Tons of progress has been made, but there are still safety concerns..🧐 We are going to be at #EMNLP2024 🏖️ Happy to chat and connect! 📃huggingface.co/blog/shanchen/… 🔊tinyurl.com/aimpodcast24 Danielle Bitterman, MD jack gallifant

Danielle Bitterman, MD (@dbittermanmd) 's Twitter Profile Photo

🩺💡The Bitterman lab has spend much of the past year researching #LLMs for healthcare. This post summarizes our inroads into making LLMs safer and reliable for clinicians and patients: huggingface.co/blog/shanchen/…. We'll be at #EMNLP2024 - come chat if you have similar interests!

yanjungao (@serena_pancakes) 's Twitter Profile Photo

A day of presenting many of our NLP work at AMIA! P1: our JBI paper on role of UMLS supporting DDx by LLM P3: Multi-modal ML for clinical prediction P4: Human&Auto Eval for LLM Diagnosis prediction #AMIA2024 UW-Madison Critical Care Medicine Data Science Lab Majid Afshar

A day of presenting many of our NLP work at AMIA! 

P1: our JBI paper on role of UMLS supporting DDx by LLM
P3: Multi-modal ML for clinical prediction
P4: Human&Auto Eval for LLM Diagnosis prediction 

#AMIA2024 
<a href="/UW_ICU_DataSci/">UW-Madison Critical Care Medicine Data Science Lab</a> <a href="/Majeans2011/">Majid Afshar</a>
yanjungao (@serena_pancakes) 's Twitter Profile Photo

🤖Are LLMs good at tabular medical data? 🥼Can they be useful for medical machine learning tasks and beat classical ML setup? #EMNLP2024 Stop by our poster Nov 14 (Thu), session 12, 14:00-15:30 Paper available🎉: aclanthology.org/2024.findings-… LARK NLP Lab UW-Madison Critical Care Medicine Data Science Lab

🤖Are LLMs good at tabular medical data? 
🥼Can they be useful for medical machine learning tasks and beat classical ML setup? 
#EMNLP2024 Stop by our poster Nov 14 (Thu), session 12, 14:00-15:30 

Paper available🎉: aclanthology.org/2024.findings-… 
<a href="/lark_nlp_lab/">LARK NLP Lab</a> <a href="/UW_ICU_DataSci/">UW-Madison Critical Care Medicine Data Science Lab</a>
yanjungao (@serena_pancakes) 's Twitter Profile Photo

☀️had a great #EMNLP2024 ! thanks for stopping by our poster! I really enjoyed answering the questions and discussion on LLM embeddings for EHR and clinical tasks ⚕️🏥 🧩happy to see that the hype of #LLMs cools down a bit and foundational #NLP problems are back!

☀️had a great #EMNLP2024 ! thanks for stopping by our poster! I really enjoyed answering the questions and discussion on LLM embeddings for EHR and clinical tasks ⚕️🏥

🧩happy to see that the hype of #LLMs cools down a bit and foundational #NLP problems are back!
Majid Afshar (@majeans2011) 's Twitter Profile Photo

Our preprint is live! Learn how we prepared for a clinical trial of GenAI in healthcare: A Novel Playbook for Pragmatic Trial Operations to Monitor and Evaluate Ambient Artificial Intelligence in Clinical Practice medrxiv.org/content/10.110… UW Applied Clinical Informatics UW Health Abridged

UW-Madison Critical Care Medicine Data Science Lab (@uw_icu_datasci) 's Twitter Profile Photo

Skatje Myers led our team in exploring how different embedding models and pooling methods affect EHR information retrieval for the clinical domain, to inform strategies for RAG frameworks in healthcare applications! yanjungao Majid Afshar Dmitriy Dligach National Library of Medicine

Danielle Bitterman, MD (@dbittermanmd) 's Twitter Profile Photo

TRIPOD-LLM is out! Check out our consensus guidelines for reporting #LLM research in biomedicine. TRIPOD-LLM is intended to be a living guideline to keep up with the rapid advances in #LLMs/Gen AI. Kudos to lead author jack gallifant

TRIPOD-LLM is out! Check out our consensus guidelines for reporting #LLM research in biomedicine. TRIPOD-LLM is intended to be a living guideline to keep up with the rapid advances in #LLMs/Gen AI. Kudos to lead author <a href="/JackGallifant/">jack gallifant</a>
Epic (@heyepic) 's Twitter Profile Photo

Epic staff are also contributing to the science behind this work—like in this recent npj Journals paper on evaluating AI-generated clinical summaries. Lots more to do on this front. nature.com/articles/s4440…

News 3 Now / Channel 3000 (@wisctv_news3) 's Twitter Profile Photo

Doctors and researchers at the UW-Madison School of Medicine and Public Health have developed an artificial intelligence tool to ensure some of our most vulnerable patients, those battling opioid use disorder, don't fall through the cracks. channel3000.com/news/ai-screen…

Majid Afshar (@majeans2011) 's Twitter Profile Photo

🎉 How can we use AI for good in addiction care? Our new study in Nature Medicine shows an AI tool successfully screens for opioid use disorder—reducing hospital readmissions and costs! 🔗lnkd.in/g7--HrPN 🔗lnkd.in/gGQmTk9P 📺lnkd.in/gaEbh3tx NIDAnews

UW-Madison Critical Care Medicine Data Science Lab (@uw_icu_datasci) 's Twitter Profile Photo

See our JMIR AI article by Dr. Rahman & team! Chest X-rays hold hidden clues to patient deterioration. In a 22K-patient study, Densenet121 beat other models in predicting ICU transfer and patient mortality. Medical Imaging + AI = powerful early warning: ai.jmir.org/2025/1/e67144

Majid Afshar (@majeans2011) 's Twitter Profile Photo

What a fun and important collaboration with Epic to build such an important open-source tool for evaluating ChatGPT outputs in healthcare. Evaluation is a must to understand how we can integrate AI safely and effectively into our practice - check it out! UW-Madison Critical Care Medicine Data Science Lab

François Chollet (@fchollet) 's Twitter Profile Photo

Beyond the perhaps superficial semantic distinction between "reasoning" and "pattern matching", there is a fundamental gap in the practical capabilities and behavior of these systems. You don't create an invention machine by iterating on an automation machine.