DEVELOPMENT OF AN ARTIFICIAL INTELLIGENCE-BASED ASSESSMENT MODEL FOR PREDICTION OF PREGNANCY AND LIVE-BIRTH USING STATIC IMAGES CAPTURED BY OPTICAL LIGHT MICROSCOPY DURING IVF

Journal article

Peer reviewed

Jared Geller, Taylor Kohn, Samad Jahandideh, Kate Devine and Ranjith Ramasamy

Fertility and sterility, Vol.116(3), pp.e158-e158

2021-09

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Title: DEVELOPMENT OF AN ARTIFICIAL INTELLIGENCE-BASED ASSESSMENT MODEL FOR PREDICTION OF PREGNANCY AND LIVE-BIRTH USING STATIC IMAGES CAPTURED BY OPTICAL LIGHT MICROSCOPY DURING IVF
Creators: Jared Geller - Stanford University
Taylor Kohn - Johns Hopkins University School of Medicine
Samad Jahandideh - Shady Grove Fertility, Washington D.C., DC
Kate Devine - Shady Grove Fertility, Washington D.C., DC
Ranjith Ramasamy - University of Miami
Publication Details: Fertility and sterility, Vol.116(3), pp.e158-e158
Publisher: Elsevier Inc
Academic Unit: Miller School of Medicine; UMMG Department of Urology
Language: English
Resource Type: Journal article
Record Identifier: 991031714496302976