⬆️New paper on #autoMAPSE showing that our model achieves optimal balance between feasibility, analysis speed, and agreement.
🔓 https://t.co/voAZ9ShPDS
🫀 Automatic quantification of LV function
🚨Refined autoMAPSE
How? A thread 🧵
#echofirst#CardioTwitter#MedTwitter#POCUS
🦙 More than $50,000 was given away at the first Nordic Meta Llama Hackathon in Oslo this weekend!
We had more than 150 people apply to develop projects under the themes of language and scientific innovation with people flying in from across the world!
Check out the Top 6 & find out what ideas teams pitched to win 👇
@AIatMeta@nebiusai
🏆 The Top 6 Competing For $30,000 USD are:
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🚑 AcuteReport – transforming ambulance conversations into precise medical summaries, ensuring critical patient information is never lost and enabling faster, safer treatment in acute healthcare settings.
🦇 Batman – allowing everyone to search like a local in any language.
⛑️ Nordic Response – a platform to triage non-urgent medical concerns in rural areas with low internet access. Designed for northern Norway, hosting expert medical AI, the first-ever open-source Llama reasoning model, and supporting 5-way language translation (including Sami).
🏛️ Democracy Update – summarizing transcriptions of the Stortinget’s (parliament’s) meetings at both the day level and period level to give a better overview of what is going on.
🤖 Cosmo – a smart assistant (RAG-based) that gives reliable answers to people moving to Norway by using trusted sources.
🦙 LlamaTinyLanguages – llama model and datasets for 4 Nordic Indigenous languages (Sami, Faroese, Kven, Kalaallisut).
#EchoFirst has limited capabilities for continuous monitoring of LV function in #ICU. To resolve this issue, we present a new method combining TEE with AI to automatically measure #MAPSE, called #autoMAPSE.
📜https://t.co/L4HlAhbUNY
#CardioTwitter#POCUS#FOAMcc
🫀Prospective observational study to assess utility of continuous monitoring of LV function usingTEE and artificial intelligence (autoMAPSE) in postop ICU intensive care patients.
🔓Read more: https://t.co/QBmZjQ48XR
⬆️New paper on #autoMAPSE showing that our model achieves optimal balance between feasibility, analysis speed, and agreement.
🔓 https://t.co/voAZ9ShPDS
🫀 Automatic quantification of LV function
🚨Refined autoMAPSE
How? A thread 🧵
#echofirst#CardioTwitter#MedTwitter#POCUS
8/ Looking ahead, future multi-center studies could further validate the efficacy of autoMAPSE across different clinical settings and patient populations. This collaborative effort will advance the adoption of AI in echocardiography and improve cardiovascular care worldwide.