Pulmonary Critical Care, data-science, machine-learning, and AI in critical care, health services research, University of Michigan
Joined August 2013
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Michael Sjoding retweeted
.@AnnalsATS study making national news: “Latino patients with respiratory illnesses are 5 times more likely to be oversedated”
nbcnews.com/news/latino/lati…
Michael Sjoding retweeted
A recent @JAMA_current study co-authored by MIDAS affiliate faculty member @umichmedicine'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-bias…
Michael Sjoding retweeted
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/jam…
Michael Sjoding retweeted
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/s41746-0…
Michael Sjoding retweeted
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/puls…
Michael Sjoding retweeted
Ahead of an 11/1 @US_FDA mtg on pulse oximeters, #UMPrecisionHealth members @tsvalley, @iwashyna, @msjoding authored a piece in @ATSBlueEditor proposing actions that FDA, senators, clinicians, manufacturers can take to ensure they work accurately for all linkedin.com/feed/update/urn…
Michael Sjoding retweeted
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-ox…
ALT Infographic about pulse oximeters in hospitalized Black patients. Click the link in the tweet to get to the brief that describes the findings in full.
Michael Sjoding retweeted
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/ @msjoding, Jenna Wiens) @MichiganAI (arxiv.org/abs/2208.01127)
Michael Sjoding retweeted
Hi, here’s my (@shanestorks) next Michigan AI #StudentTakeover Spotlight with Trenton Chang (@chang_trenton)! We discussed equity in healthcare and diagnostic testing, the role of AI, and overcoming imposter syndrome. #AcademicChatter
youtube.com/watch?v=KpnmyCj3…
Michael Sjoding retweeted
There are much harder crosses to bear in life, but @A2schools abject failure to make evidence-based decisions or prioritize our kids’ education is deplorable. Where do they think kids go when they are not in school?!? In to negative pressure rooms?!?. No excuses and no words.
Michael Sjoding retweeted
Highest child vaccination rate in the state and @A2SchoolsSuper still closing schools against @SecCardona and @GovWhitmer’s advice. An embarrassment.
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Michael Sjoding retweeted
AACN reached out to the American Heart Association (AHA) about their 2021 interim CPR guidance in patients with known or suspected COVID-19. We offered feedback on aspects of the guidelines we found unclear or potentially unsafe.
Michael Sjoding retweeted
These AHA guidelines, if followed, would get healthcare workers killed.
That is not an exaggeration.
Some of us have chronic illnesses, high-risk conditions, compromised immune systems.
It's wrong to disregard HCWs lives like this. Retract this immediately @American_Heart.
Michael Sjoding retweeted
Are there clinical subphenotypes of COVID19?
🤔
We tried to answer this question with @msjoding @progdoctalk @bhavani_md @_plyons @a_serpaneto @robertpdickson using data from 3 cohorts in 🇳🇱 and 🇺🇸
NEW—At baseline, #COVID19-related #ARDS has no consistent resp subphenotype. Pts diverged from fairly homogenous to a more heterogeneous popn, w/ trajectories of ventilatory ratio and mechanical power being the most discriminatory.
PRoVENT–COVID study: bit.ly/3aw0Z5R
Michael Sjoding retweeted
Validating Measures of Disease Severity in Acute Respiratory Distress Syndrome
🔗 ow.ly/3UWy50FDMmv
Michael Sjoding retweeted
Take a look at our Invited Talks! Registration for MLHC 2021 (August 6-7) is now open at mlforhc.org!
Michael Sjoding retweeted
Thank you for folks who have shared or commented on our paper. I know the paper is being used by some to dunk on Epic. Rather than piling on, I want to provide a clear-eyed view of what we found, what it means, and what I would suggest to Epic (& other model devs) going forward.
Study suggests that the Epic Sepsis Model poorly predicts #sepsis; its widespread adoption despite poor performance raises fundamental concerns about sepsis management on a national level ja.ma/3xymYCo
Michael Sjoding retweeted
The #SAGEStudy is now online @accpchest!
This is the largest US cohort study of patients w/ mod-severe #ARDS reported to date - 2,466 mechanically ventilated adults w/ #ARDS & P/F < 150 at 29 US centers. Primary outcome was 28-day hospital mortality.
journal.chestnet.org/article…
Michael Sjoding retweeted
“This is unconscionable, especially after the economic losses that women and families of color have suffered during the pandemic,” reads a parent petition. clickondetroit.com/all-about…
Michael Sjoding retweeted
More than 70% of pediatricians are women. More than one-third of neonatologists are women. Yet @AmerAcadPeds can’t find a single woman to speak on or moderate this national panel? #MedTwitter #WomenInMedicine #AcademicTwitter 1/
