Michael Sjoding(@msjoding) 's Twitter Profileg
Michael Sjoding

@msjoding

Pulmonary Critical Care, data-science, machine-learning, and AI in critical care, health services research, University of Michigan

ID:1650231710

calendar_today06-08-2013 12:26:42

522 Tweets

1,2K Followers

85 Following

American Thoracic Society (ATS)(@atscommunity) 's Twitter Profile Photo

.Annals of the ATS study making national news: “Latino patients with respiratory illnesses are 5 times more likely to be oversedated”
nbcnews.com/news/latino/la…

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Michigan Institute for Data Science (MIDAS)(@um_midas) 's Twitter Profile Photo

A recent JAMA study co-authored by MIDAS affiliate faculty member Michigan Medicine's Dr. Michael Sjoding cautions the use of AI tools with baked-in systemic bias to help diagnose patients. Read more from Axios. axios.com/2023/12/20/ai-…

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Rohan Khera(@rohan_khera) 's Twitter Profile Photo

In for medicine, we often hear, 'Oh, this tool just assists clinicians - they decide care'

In JAMA, Sarah Jabbour et al's randomized study finds potential harm from decision support w assistive AI

We cover 'Automation Bias' in an editorial

jamanetwork.com/journals/jama/…

In #AI for medicine, we often hear, 'Oh, this tool just assists clinicians - they decide care' In @JAMA_current, @SarahJabbour_ et al's randomized study finds potential harm from decision support w assistive AI We cover 'Automation Bias' in an editorial jamanetwork.com/journals/jama/…
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npj Digital Medicine(@npjDigitalMed) 's Twitter Profile Photo

Of 4 collaboration strategies to deploy for the diagnosis of ARDS from chest XR, the most accurate is to allow AI review the XR first & defer to the physician if uncertain. 79% of cases were decided by AI - significantly reducing physician workload.

nature.com/articles/s4174…

Of 4 collaboration strategies to deploy #AI for the diagnosis of ARDS from chest XR, the most accurate is to allow AI review the XR first & defer to the physician if uncertain. 79% of cases were decided by AI - significantly reducing physician workload. nature.com/articles/s4174…
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Michael Sjoding(@msjoding) 's Twitter Profile Photo

On this day when a mentee has a great paper accepted, I'm grateful to have learned how to generously and effectively respond to manuscript reviewers from Colin Cooke Jack Iwashyna🫁 and now can model this with my mentees

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Usha Lee McFarling(@ushamcfarling) 's Twitter Profile Photo

I've been accused of 'relentlessly' covering the pulse oximeter issue. Guilty as charged. I find this issue critical. It's a microcosm of the painful, historical, scientific & nuanced ways race interests with medicine. Here's a🧵of our coverage. statnews.com/2022/11/01/pul…

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Arika Lycan (they/them) 🏳️‍⚧️🏳️‍🌈(@arikagrace) 's Twitter Profile Photo

Ahead of an 11/1 U.S. FDA mtg on pulse oximeters, members Tom Valley, Jack Iwashyna🫁, Michael Sjoding authored a piece in ATS Blue Journal proposing actions that FDA, senators, clinicians, manufacturers can take to ensure they work accurately for all linkedin.com/feed/update/ur…

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U-M IHPI(@UM_IHPI) 's Twitter Profile Photo

NEW: Michael Sjoding & colleagues have spent 2+ years looking at the accuracy of devices in hospital patients with darker skin, and finding major issues.
Read our new brief summarizing their work, in advance of an U.S. FDA hearing on the topic this fall: ihpi.umich.edu/news/pulse-oxi…

NEW: @msjoding & colleagues have spent 2+ years looking at the accuracy of #pulseox devices in hospital patients with darker skin, and finding major issues. Read our new brief summarizing their work, in advance of an @US_FDA hearing on the topic this fall: ihpi.umich.edu/news/pulse-oxi…
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Trenton Chang(@chang_trenton) 's Twitter Profile Photo

1/ Excited to announce our new work at @MLHC2022! Many patient risk-stratification ML models are trained using lab test results as labels. But testing disparities are known to exist across patient groups. (w/ Michael Sjoding, Jenna Wiens) @MichiganAI (arxiv.org/abs/2208.01127)

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MichiganAI(@michigan_AI) 's Twitter Profile Photo

Hi, here’s my (Shane Storks) next Michigan AI Spotlight with Trenton Chang (@chang_trenton)! We discussed equity in healthcare and diagnostic testing, the role of AI, and overcoming imposter syndrome.

youtube.com/watch?v=KpnmyC…

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Michael Sjoding(@msjoding) 's Twitter Profile Photo

Distillation of complex figure/nuanced thread on pulse ox accuracy/reliability. If pulse ox and ABG are way off, additional pulse ox readings likely unreliable for all. If pulse ox and ABG align, additional pulse ox readings likely accurate for White but less so for Black pts.

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Jack Iwashyna🫁(@iwashyna) 's Twitter Profile Photo

‘As Melissa Creary and colleagues state, “Race is not an arbitrary phenotypic difference, but rather is a powerful and deadly social system, and the consequent processes of racism get embodied with biological consequences”.’

New Michael Sjoding The Lancet Digital Health

thelancet.com/action/showPdf…

‘As Melissa Creary and colleagues state, “Race is not an arbitrary phenotypic difference, but rather is a powerful and deadly social system, and the consequent processes of racism get embodied with biological consequences”.’ New @msjoding @LancetDigitalH thelancet.com/action/showPdf…
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