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AI and Clinical Practice: Automation Bias and Short Cuts in Clinical AI Models JAMA Medical News
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- 医学
Automation bias and shortcuts in clinical AI models have posed significant challenges. In this Q&A, Jenna Wiens, PhD, an associate professor of Computer Science and Engineering at the University of Michigan in Ann Arbor, joins JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how we can start leveraging human collaboration with AI to provide more effective health care.
Related Content:
Blind Spots, Shortcuts, and Automation Bias—Researchers Are Aiming to Improve AI Clinical Models
Automation bias and shortcuts in clinical AI models have posed significant challenges. In this Q&A, Jenna Wiens, PhD, an associate professor of Computer Science and Engineering at the University of Michigan in Ann Arbor, joins JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how we can start leveraging human collaboration with AI to provide more effective health care.
Related Content:
Blind Spots, Shortcuts, and Automation Bias—Researchers Are Aiming to Improve AI Clinical Models
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