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pro vyhledávání: '"Bhimireddy, Ananth Reddy"'
Deep learning approaches applied to medical imaging have reached near-human or better-than-human performance on many diagnostic tasks. For instance, the CheXpert competition on detecting pathologies in chest x-rays has shown excellent multi-class cla
Externí odkaz:
http://arxiv.org/abs/2204.07824
Autor:
Banerjee, Imon, Bhimireddy, Ananth Reddy, Burns, John L., Celi, Leo Anthony, Chen, Li-Ching, Correa, Ramon, Dullerud, Natalie, Ghassemi, Marzyeh, Huang, Shih-Cheng, Kuo, Po-Chih, Lungren, Matthew P, Palmer, Lyle, Price, Brandon J, Purkayastha, Saptarshi, Pyrros, Ayis, Oakden-Rayner, Luke, Okechukwu, Chima, Seyyed-Kalantari, Laleh, Trivedi, Hari, Wang, Ryan, Zaiman, Zachary, Zhang, Haoran, Gichoya, Judy W
Background: In medical imaging, prior studies have demonstrated disparate AI performance by race, yet there is no known correlation for race on medical imaging that would be obvious to the human expert interpreting the images. Methods: Using private
Externí odkaz:
http://arxiv.org/abs/2107.10356
Autor:
Singh, A. K. Bhavani, Guntu, Mounika, Bhimireddy, Ananth Reddy, Gichoya, Judy W., Purkayastha, Saptarshi
In the United States, 25% or greater than 200 billion dollars of hospital spending accounts for administrative costs that involve services for medical coding and billing. With the increasing number of patient records, manual assignment of the codes p
Externí odkaz:
http://arxiv.org/abs/2003.07507
Autor:
Gichoya, Judy Wawira *, Banerjee, Imon, Bhimireddy, Ananth Reddy, Burns, John L, Celi, Leo Anthony, Chen, Li-Ching, Correa, Ramon, Dullerud, Natalie, Ghassemi, Marzyeh, Huang, Shih-Cheng, Kuo, Po-Chih, Lungren, Matthew P, Palmer, Lyle J, Price, Brandon J, Purkayastha, Saptarshi, Pyrros, Ayis T, Oakden-Rayner, Lauren, Okechukwu, Chima, Seyyed-Kalantari, Laleh, Trivedi, Hari, Wang, Ryan, Zaiman, Zachary, Zhang, Haoran
Publikováno v:
In The Lancet Digital Health June 2022 4(6):e406-e414
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