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Clinicians Could Be Fooled by Biased AI, Despite Explanations

Clinicians Could Be Fooled by Biased AI, Despite Explanations
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United States , Sarah Jabbour , Kelly Malcom Derek Smith , Stephanie Shepard , David Fouhey , Ellaa Kazerooni , Jenna Wiens , Michael Sjoding , Nikola Banovic , University Of Michigan , Health Lab Podcast , Blood Institute , National Heart , Drug Administration , College Of Engineering , Health Lab , University Of Michigan Medical School , A Randomized Survey Vignette Multicenter Study , Terms Of Service , Research Innovation , Health Wellness , Kelly Malcom , Michigan Medical School , Good Men Project , Hospitalized Patients , Randomized Survey Vignette Multicenter Study ,

Biased AI can make doctors' diagnoses less accurate

AI systems have the potential to help improve doctors diagnoses, a new study suggests. But if bias is baked into the system, their diagnostic accuracy falls. ....

United States , Ricky Leung , Michael Sjoding , University Of Michigan , University At Albany School Of Public Health , Public Health , Live Science ,

Explanations Don't Help Clinicians Spot Biased AI

Biased AI predictions tanked diagnostic accuracy, and model explanations didn't bring it back up ....

New Haven , United States , Rohan Khera , Sarah Jabbour , Michael Sjoding , Michael Depeau , University Of Michigan , University Of Michigan Health In Ann Arbor , Yale School Of Medicine , Michigan Health , Ann Arbor , Medpage Today , Yale School ,

AI in healthcare 'double-edged sword', can fool clinicians with data: Study

AI models in health care are a double-edged sword, with models improving diagnostic decisions for some demographics, but worsening decisions for others when the model has absorbed biased medical data, suggests a study.Given the very real life . ....

United States , New York , Michael Sjoding , Sarah Jabbour , College Of Engineering , University Of Michigan , Associate Professor ,

AI In Healthcare 'double-edged Sword', Can Fool Clinicians With Data: Study

AI models in health care are a double-edged sword, with models improving diagnostic decisions for some demographics ....

New York , United States , Sarah Jabbour , Michael Sjoding , College Of Engineering , University Of Michigan , Associate Professor ,