@SMudumbaiDoc

Looking forward to Dallas VA Anesthesiology Grand Rounds next week, with colleagues across OR and pain services and academic partners at UTSWMedCenter. I’ll be discussing how large language models can support perioperative care.#AIinMedicine @emarianomd.bsky.social @stanfordanes.bsky.social

Evaluating Large Language Model Performance in Generating Clinically Relevant Intensive Care Unit Discharge Summaries - PubMed LLMs can generate fluent and readable ICU discharge summaries but may overlook critical clinical details and lack depth compared to human-authored summaries. Further ICU-specific fine-tuning and incor...

Thrilled to share our latest work with colleagues from
UCSD,Duke, and Stanford. Can LLMs help write ICU discharge summaries? @emarianomd.bsky.social @stanfordanes.bsky.social
pubmed.ncbi.nlm.nih.gov/40952021/
#AIinMedicine #CriticalCare

Grateful to have presented at @Tulane Anesthesiology Grand Rounds.We explored how large language models can reduce cognitive load. Great discussion with an engaged group of residents and faculty. Appreciate the warm welcome in New Orleans! #Anesthesiology #AIinMedicine @emarianomd.bsky.social

Honored and excited to present at @Tulane Anesthesiology Grand Rounds this week at Tulane’s medical campus. Looking forward to exploring how AI and large language models can reshape perioperative care. #Anesthesiology #AIinMedicine @emarianomd.bsky.social

🚨 Harnessing AI to Mitigate Opioid Risk
🗓️ Tues, July 22 | 🕓 4–5 PM ET
🎯 Predictive Analytics for Identifying Patients at Risk for Opioid Misuse
Teaming up with @RodneyGabrielMD & Dr.Ariana Nelson!
🔗 iars.org/cme-webinars/
#AI #OpioidSafety @EMARIANOMD @stanfordanes

Optimal multimodal analgesia combinations to reduce pain and opioid use following non-cardiac surgery: an instrumental variable analysis Background Multimodal analgesia (MMA) is a perioperative pain management strategy that targets various pain pathways, resulting in reduced postoperative pain and opioid use. Unfortunately, the optimal...

Latest from our VA-based team: Optimal multimodal analgesia combinations to reduce pain and opioid use following non-cardiac surgery: an instrumental variable analysis. rapm.bmj.com/content/earl... @stanfordanes.bsky.social @emarianomd.bsky.social #opioids

Rapid, Safe, and Efficient Reduction in the Carbon... : Anesthesiology An abstract is unavailable.

🚨 New in Anesthesiology 🚨 Preop telemedicine = safer, greener care. In our nationwide VHA study, telehealth cut carbon emissions by ~50% , no loss in safety or efficiency.Excited to collaborate with Duke Anesth. team! @emarianomd.bsky.social @stanfordanes.bsky.social
🔗 doi.org/10.1097/ALN....

🚨 New in Military Medicine by our team 🚨 Among U.S. Veterans, social support & personality,not age or income,drive digital health tech use.Openness + supportive friends = higher adoption. Tailored strategies needed. w/ @emarianomd.bsky.social
#DigitalHealth#Veterans #HealthTech

🚨 Excited to share our new editorial in Anaesthesia with my co-authors Anjali Dixit & Jinlei Li! 🚨We discuss the balance between efficiency & patient safety in outpatient joint arthroplasty, reflecting on findings from Reisinger et al. on rising comorbidities &complications.#PatientSafety

Thank you, @EMARIANOMD! Excited to see this work on interpretable #machinelearning models in @Anaes_Journal. Understanding postoperative opioid trends is critical for safer pain management. Grateful for the collaboration with team! #AI #Anesthesia #Opioids