Michael Sjoding Profile
Michael Sjoding

@msjoding

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473

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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@msjoding
Michael Sjoding
5 years
1/ Our research letter on racial bias in pulse oximetry measurement, out today in NEJM https://t.co/6dLuNGosxp
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@um_midas
Michigan Institute for Data & AI In Society
2 years
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.
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axios.com
With AI poised to play a greater role in diagnosis and treatment, there's growing emphasis on rooting out biased models.
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@msjoding
Michael Sjoding
2 years
JAMA produced a video on our just published study!
@JAMA_current
JAMA
2 years
Although standard AI models improve diagnostic accuracy, systematically biased AI models reduced diagnostic accuracy, and commonly used image-based AI model explanations did not mitigate this harmful effect. https://t.co/cRWTnq4PKk
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@rohan_khera
Rohan Khera
2 years
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 https://t.co/bavXW3ywH7
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@npjDigitalMed
npj Digital Medicine
3 years
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. https://t.co/n2dTtQlG1e
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@msjoding
Michael Sjoding
3 years
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 @ColinRCooke @iwashyna and now can model this with my mentees
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@ushamcfarling
Usha Lee McFarling
3 years
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.
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statnews.com
An FDA advisory committee today will weigh whether pulse oximeters need to be regulated differently based on research showing the devices are less accurate in people with darker skin. For many, the...
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@arikagrace
Arika Lycan (they/them) 🏳️‍⚧️🏳️‍🌈
3 years
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
As a Nov. 1 Food and Drug Administration (FDA) meeting on pulse oximeters approaches, Precision Health members Thomas Valley, Theodore "Jack" Iwashyna, and Michael Sjoding authored an editorial in...
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@msjoding
Michael Sjoding
3 years
Proposal #4: Leverage widely available data to ensure real world safety in relevant subgroups - We need more real world, real patient performance testing in clinical settings, not just data from laboratory on healthy patients
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@msjoding
Michael Sjoding
3 years
Proposal #3: Power pulse oximeter tests to detect small but clinically important differences between racial groups - Small performance differences translate into significant population disparities, hidden hypoxia rates of 2% versus 12% for example!
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@msjoding
Michael Sjoding
3 years
Proposal #2: Align pulse oximeter evaluation with use in clinical practice -ARMS (accuracy root mean square) doesn’t tell us what we need to know at the bedside. Rates of “occult” or “hidden” hypoxemia more relevant
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@msjoding
Michael Sjoding
3 years
Proposal #1: Require device manufacturers to report pulse oximeter performance in patient subgroups defined by relevant attributes -This should be a mandatory labeling requirement!
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@msjoding
Michael Sjoding
3 years
As Nov 1 FDA meeting on PulseOx approaches, @tsvalley, @iwashyna and I wrote editorial in @ATSBlueEditor discussing actions @US_FDA, @ATS, @SCCM, @SenWarren, @SenBooker, clinicians, manufactures could all take to ensure they work accurately for everyone
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@UM_IHPI
U-M IHPI
3 years
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: https://t.co/dRQDqJXOzW
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@chang_trenton
Trenton Chang
3 years
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 ( https://t.co/hQMbfawhKD)
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arxiv.org
As machine learning (ML) models gain traction in clinical applications, understanding the impact of clinician and societal biases on ML models is increasingly important. While biases can arise in...
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@michigan_AI
MichiganAI
3 years
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 https://t.co/a4hkMRPnFw
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@msjoding
Michael Sjoding
3 years
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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@msjoding
Michael Sjoding
4 years
Our Kindergartener: "I do not like zoom school. I'm having a terrible day." @A2schools @A2Return @A2SchoolsSuper
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@dutchbikemom
Kate F
4 years
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.
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@SMHred
Shannon Hughes Hautamaki
4 years
Highest child vaccination rate in the state and @A2SchoolsSuper still closing schools against @SecCardona and @GovWhitmer’s advice. An embarrassment.
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