@SMudumbaiDoc

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