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AI programs can help us practice with more confidence, less liability, less variability, and most importantly, better clinical outcomes. Our participation and open discussion of their inner workings is what will make the difference.
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ACEP Now: Vol 41 – No 10 – October 2022Dr. Pangia serves as a regional medical director for emergency, hospitalist, and telemedicine as well as the regional analytics director for TeamHealth. He is a practicing emergency physician, data scientist, and a Master of Science candidate in artificial intelligence at Johns Hopkins University. He’s been engaged in pre-hospital care since 1992 and an emergency physician since 2008.
References
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- Quantum Black AI by McKinsey. The state of AI in 2021: survey. https://www.mckinsey.com/businessfunctions/quantumblack/our-insights/global-survey-the-state-of-ai-in-2021. Published December 8, 2021. Accessed September 22, 2022.
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- Buolamwini, J. Artificial intelligence has a problem with racial bias. here’s how to solve it. Time. https://time.com/5520558/artificial-intelligence-racial-gender-bias. Published February 7, 2019. Accessed September 22, 2022.
- Neural net guesses memes. Twitter thread. https://twitter.com/ResNeXtGuesser/status/1458326818855940096?ref_src=twsrc%5Etfw. Published November 10, 2021. Accessed September 22, 2022.
- Blazek, P. Why we will never open deep learning’s black box. https://towardsdatascience.com/why-we-will-never-open-deep-learnings-black-box-4c27cd335118. Published March 2, 2022. Accessed September 22, 2022.
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