Maxime Fosset

166 posts

Maxime Fosset

Maxime Fosset

@MaximeFosset

Intensive Care Resident - CHU Montpellier PreMeDICaL (precision medicine by data integration and causal learning) Team ICU/Stats/Causal Inference/ML

Katılım Kasım 2020
2.3K Takip Edilen194 Takipçiler
Maxime Fosset retweetledi
Claire Fourcade
Claire Fourcade@clairefourcade3·
#FindeVie: La sédation est-elle une sorte d’euthanasie lente et hypocrite, réalisée « sous le manteau »? 🧶👇
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Maxime Fosset
Maxime Fosset@MaximeFosset·
@DrSchaug @epistemethikos Pour les graphes c'est faisable si tu utilises ggplot2, surtout pour des choses simples, par contre pour les analyses, ça peut être plus risqué (hallucinations de packages ou de fonctions qui n'existent pas, erreurs dans le code...)
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Schaug🪿
Schaug🪿@DrSchaug·
@epistemethikos Haha oui c’est au programme (quand on aura fini nos manips d’anat) mais voulais savoir si on pouvait s’en servir facilement pour optimiser un graphe par ex (genre « mets les colonnes en bleu et une étoile quand c’est significatif » ou faire des trucs complexes (propension…)
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Schaug🪿
Schaug🪿@DrSchaug·
Des statisticiens sur R ici? Vous arrivez à utiliser chatGPT pour optimiser voir même créer vos tests / analyses et graphes?
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Maxime Fosset retweetledi
Adam Rodman
Adam Rodman@AdamRodmanMD·
Our new study in @JAMAInternalMed looking at the reasoning abilities of GPT-4 compared with human physicians just came out. Big picture: AI displays (much) better reasoning than humans, makes diagnoses similarly, but hallucinates considerably more. A 🧵to put in context ⬇️
Eric Topol@EricTopol

How good is #AI at clinical reasoning? An early, simulated assessment jamanetwork.com/journals/jamai… “An LLM was better than physicians in processing medical data and clinical reasoning using recognizable frameworks as measured by R-IDEA”

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Simone Redaelli MD
Simone Redaelli MD@SimonRedaelliMD·
I’m glad to share that our work on inflammatory subphenotypes in patients at risk of #ARDS has just been published in @yourICM Thank you to all the people that made this achievement possible @BIDMCAnesthesia @unimib
Intensive Care Medicine@yourICM

🫁 Inflammatory subphenotypes in pts at risk of #ARDS: potential predictive/prognostic strategy? Hyper & non-hyper-inflammatory subphenotypes may precede development, identifiable in ED & remain identifiable. Worse outcomes if hyper-inflammatory type. 🖇️ rdcu.be/dp0z0

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Intensive Care Medicine
Intensive Care Medicine@yourICM·
🫁 Inflammatory subphenotypes in pts at risk of #ARDS: potential predictive/prognostic strategy? Hyper & non-hyper-inflammatory subphenotypes may precede development, identifiable in ED & remain identifiable. Worse outcomes if hyper-inflammatory type. 🖇️ rdcu.be/dp0z0
Intensive Care Medicine tweet media
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Peter Lee
Peter Lee@peteratmsr·
Over and over again we learn that often what doctors and nurses hope for most from AI is the ability to be with their patients, holding eye contact and undistracted by technology. I enjoyed chatting with @DrLaPook about this and related for his @CBSMornings report about AI in medicine.
CBS Mornings@CBSMornings

Doctors hope AI can save lives, and companies say it can save time, but can it be relied upon? “The hope is that it will allow doctors and nurses to…be present with their patients,” @peteratmsr tells @DrLaPook. cbsn.ws/3Kqlvav

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Michael Mina
Michael Mina@michaelmina_lab·
@rbganatra My view is that across all medicine, only 1 field weaves in every paper - statistics Yet it is glossed over in medical schools and almost made a mockery of MDs generally don’t get to understand the full value of statistics in making inference We need actual stats in MD school
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Keşfet

@DrSchaug @epistemethikos @bmj_latest @MatthewBJane @JAMAInternalMed @R_Graph_Gallery @yourICM @BIDMCAnesthesia