Standout Papers

Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization 2019 2026 2021 2023 238
  1. Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization (2019)
    Pegah Khosravi, Ehsan Kazemi et al. npj Digital Medicine

Immediate Impact

69 standout
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Citing Papers

Machine learning in point-of-care testing: innovations, challenges, and opportunities
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The Integration of Artificial Intelligence into Clinical Practice
2024 Standout
3 intermediate papers

Works of Marco Toschi being referenced

Application of artificial intelligence technology to increase the efficacy of embryo selection and prediction of live birth using human blastocysts cultured in a time-lapse incubator
2018
Assessing human blastocyst quality using artificial intelligence (AI) convolutional neural network (CNN)
2018
and 1 more

Author Peers

Author Last Decade Papers Cites
Marco Toschi 162 206 58 125 14 334
Rohan Pooniwala 117 203 27 140 13 300
Pantelis Zisimopoulos 113 195 53 140 5 370
Don Perugini 100 184 38 142 19 335
Leslie B. Ramirez 160 152 34 80 13 304
Lynn M. Boehnlein 156 182 18 123 11 267
Ashleigh Storr 162 242 53 156 11 286
S.K. Shipley 165 246 57 180 15 330
Shiri Barbash‐Hazan 27 108 54 162 15 361
S.P. Willman 134 249 73 206 13 337
Sue Montgomery 136 268 85 185 14 307

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2026