@msjoding

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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.@AnnalsATS study making national news: “Latino patients with respiratory illnesses are 5 times more likely to be oversedated” nbcnews.com/news/latino/lati…

Latino patients with respiratory illnesses are 5 times more likely to be oversedated

Deep sedation while on a ventilator is a known risk factor for worse outcomes or death, yet a study saw these disparities involving Hispanic patients in different hospitals across the U.S.

nbcnews.com
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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…

AI guardrails can fall short in health care: study

With AI poised to play a greater role in diagnosis and treatment, there's growing emphasis on rooting out biased models.

axios.com
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JAMA produced a video on our just published study!
JAMA
@JAMA_current19 Dec 2023
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. ja.ma/3ROAuPf
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Michael Sjoding retweeted
Rohan Khera
@rohan_khera19 Dec 2023
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…
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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…
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