MP34-16 ARTIFICIAL INTELLIGENCE BASED MACHINE LEARNING MODELS PREDICT SPERM PARAMETER UPGRADING AFTER MICROSURGICAL VARICOCELE REPAIR: A MULTI-INSTITUTIONAL ANALYSIS

Jesse Ory; Michael B. Tradewell; Udi Blankstein; Thiago Lima; Sirpi Nackeeran; Daniel C. Gonzales; Elie Nwefo; Vinayak Madhusoodanan; Susan Lau; Keith Jarvi; Ranjith Ramasamy

doi:10.1097/JU.0000000000002588.16

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MP34-16 ARTIFICIAL INTELLIGENCE BASED MACHINE LEARNING MODELS PREDICT SPERM PARAMETER UPGRADING AFTER MICROSURGICAL VARICOCELE REPAIR: A MULTI-INSTITUTIONAL ANALYSIS

Journal article

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MP34-16 ARTIFICIAL INTELLIGENCE BASED MACHINE LEARNING MODELS PREDICT SPERM PARAMETER UPGRADING AFTER MICROSURGICAL VARICOCELE REPAIR: A MULTI-INSTITUTIONAL ANALYSIS

Jesse Ory, Michael B. Tradewell, Udi Blankstein, Thiago Lima, Sirpi Nackeeran, Daniel C. Gonzales, Elie Nwefo, Vinayak Madhusoodanan, Susan Lau, Keith Jarvi, …

The Journal of urology, Vol.207(Supplement 5)

2022-05

DOI: https://doi.org/10.1097/JU.0000000000002588.16

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Title: MP34-16 ARTIFICIAL INTELLIGENCE BASED MACHINE LEARNING MODELS PREDICT SPERM PARAMETER UPGRADING AFTER MICROSURGICAL VARICOCELE REPAIR: A MULTI-INSTITUTIONAL ANALYSIS
Creators: Jesse Ory
Michael B. Tradewell
Udi Blankstein
Thiago Lima
Sirpi Nackeeran
Daniel C. Gonzales
Elie Nwefo
Vinayak Madhusoodanan
Susan Lau
Keith Jarvi
Ranjith Ramasamy
Publication Details: The Journal of urology, Vol.207(Supplement 5)
Academic Unit: Miller School of Medicine; UMMG Department of Urology
Language: English
Resource Type: Journal article
Record Identifier: 991031713379402976