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#KidneyWk #POCUS precourse in full swing. Dr Ria Dancel, MD talking about #POCUS of kidneys and bladder ⁦Nathaniel Reisinger⁩ ⁦NephroPOCUS⁩ ⁦Eduardo R Argaiz⁩

#nicu #CriticalCare #pediatrics #monitoring

PRESS RELEASE! A team of clinicians, scientists & engineers Mount Sinai Health System trained a deep learning pose-recognition algorithm on video feeds of infants in neonatal intensive care unit to accurately track their movements & ID key neurologic metrics.👉tinyurl.com/22xjnhc9

#cost #healthcare #Efficiency #ai #publication

A study by our researchers has identified strategies for using large language models (LLMs), a type of #AI, in health systems while maintaining cost efficiency and performance. The findings provide insights into how health systems can leverage advanced AI tools to automate tasks

This study explored how #LLMs handle multiple clinical tasks at once, finding that performance decreases as the number of tasks and notes increases. High-capacity models showed strong accuracy and efficiency, managing up to 50 tasks with significant cost savings, making them

.Mount Sinai Health System has been awarded nearly $7 million from the National Institutes of Health (NIH) to lead a New York coalition of the NIH’s All of Us Research Program. All of Us is a historic effort to gather data from 1 million or more people in the United States, with the goal

This review could not have been possible without the immense support of Dr. Ankit Sakhuja 🇺🇸 and our in-house #Batman, Girish Nadkarni coupled with solid collaboration with Jake Desman (the rising-star in offline RL implementations TheAIMSLab@MountSinai) and #MetaRL guy, #MoeinSabounchi

Are #LLMs as good as human coders in extracting ICD codes? Of 6 LLMs we tested, GPT-4 achieved highest agreement with human coder but still only at 15.2%. Read our full study in #ACI at - pubmed.ncbi.nlm.nih.gov/39608761/ Girish Nadkarni Icahn School of Medicine at Mount Sinai TheAIMSLab@MountSinai WVU Medicine

#SAIL25 will feature a review of the most impactful articles, news and events throughout this year in medical AI. Join us from May 6-9 in Rio Grande, Puerto Rico, for our Year-in-Review!! Submit your abstract by January 17th: sail.health/event/sail-202…

At npj Digital Medicine, we recognize the importance of educating the clinical community about new concepts. If you're a clinician looking for a good primer on reinforcement learning in medicine, check out this review article from TheAIMSLab@MountSinai Charles Bronfman Inst for Personalized Medicine !

Proud to be part of this pivotal study on persistent severe #AKI in critically ill patients, alongside leading experts in the field. Excited to contribute to research that pushes the boundaries of our understanding of this critical condition! John Kellum pubmed.ncbi.nlm.nih.gov/39966171/

Congratulations to our very own rockstar Ankit Sakhuja 🇺🇸 to be honored as part of the #SCCM #AI #SCCM2025 🎊 #alittlelatetotheparty Icahn School of Medicine at Mount Sinai Mount Sinai Department of Medicine

This happened recently!! #AI #SinAI #MountSinAIRetreat linkedin.com/posts/aimounts…

Congratulations to this rockstar Joy Jiang on successfully crushing 💪 her dissertation defense!! Dr. Jiang will now continue to complete her MD at Icahn School of Medicine at Mount Sinai We look forward to reading about all her amazing achievements in the near future!!