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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…

Congratulations Majid Afshar and colleagues on our Nature Medicine research manuscript entitled: "Clinical implementation of AI-based screening for risk for opioid use disorder in hospitalized adults." nature.com/articles/s4159… See the NIDAnews press release.

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…

🎉 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

The latest American Thoracic Society (ATS) Breathe Easy podcast features our own University of Wisconsin Department of Medicine Dr. Matthew Churpek MD, MPH, PhD, discussing "AI in Clinical Practice: The Future is Now": site.thoracic.org/podcast/breath…; and video: youtube.com/watch?v=LJcUIt… UW Applied Clinical Informatics

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

See our JAMA article by the UW-Madison Critical Care Medicine Data Science Lab, Pragmatic Critical Care Research Group, ANZICS! 2x RCTs + ML modeling = Individualized oxygenation targets -> improve survival of critically ill patients undergoing invasive mechanical ventilation. jamanetwork.com/journals/jama/…

Way to go Majid Afshar NIDAnews

Heading to XGM? We're happy to be sharing what we've been working on! UW-Madison Critical Care Medicine Data Science Lab Majid Afshar Peter Kleinschmidt Hamid Emamekhoo University of Wisconsin Department of Medicine Univ. of Wisconsin Emergency Medicine Epic Heidi Twedt, MD Joel Gordon Jason Dambach Navin Pathak

Grad Sierra Strutz, mentor Anoop Mayampurath, UW + Loyola + UChicago +Northshore team developed a novel hospitalwide XGB model for the early detection of deterioration in children, thereby enabling a unified risk assessment throughout their hospital stays! pubmed.ncbi.nlm.nih.gov/40445617/

Grad Charlie Kotula, mentor Matt Churpek, & UW+ Loyola+UChicago team developed & compared novel multimodal deep learning models for early detection of deterioration in ward patients, illuminating potential utility of integrating clinical notes in deterioration prediction