Michael Sjoding (@msjoding) 's Twitter Profile
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

474 Tweet

1,1K Followers

75 Following

Kate F (@dutchbikemom) 's Twitter Profile Photo

There are much harder crosses to bear in life, but A2 Public Schools 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 (@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.

MichiganAI (@michigan_ai) 's Twitter Profile Photo

Hi, here’s my (Shane Storks, PhD) next Michigan AI #StudentTakeover Spotlight with Trenton Chang (Trenton Chang)! We discussed equity in healthcare and diagnostic testing, the role of AI, and overcoming imposter syndrome. #AcademicChatter youtube.com/watch?v=KpnmyC…

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) Martin Enevoldsen (arxiv.org/abs/2208.01127)

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

NEW: Michael Sjoding & 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 U.S. FDA hearing on the topic this fall: ihpi.umich.edu/news/pulse-oxi…

NEW: <a href="/msjoding/">Michael Sjoding</a> &amp; 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 <a href="/US_FDA/">U.S. FDA</a> hearing on the topic this fall: ihpi.umich.edu/news/pulse-oxi…
Arika Lycan (they/them) 🏳️‍⚧️🏳️‍🌈 (@arikagrace) 's Twitter Profile Photo

Ahead of an 11/1 U.S. FDA mtg on pulse oximeters, #UMPrecisionHealth members Tom Valley, @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…

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…

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 @ColinRCooke @iwashyna and now can model this with my mentees

npj Digital Medicine (@npjdigitalmed) 's Twitter Profile Photo

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…

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 &amp; defer to the physician if uncertain. 79% of cases were decided by AI - significantly reducing physician workload.

nature.com/articles/s4174…
Rohan Khera (@rohan_khera) 's Twitter Profile Photo

In #AI 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 <a href="/JAMA_current/">JAMA</a>, <a href="/SarahJabbour_/">Sarah Jabbour</a> 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/…
Michigan Institute for Data & AI In Society (@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-…

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…