An Integrated Optimization and Deep Learning Pipeline for Predicting Live Birth Success in IVF Using Feature Optimization and Transformer-Based Models

In vitro fertilization (IVF) is a widely utilized assisted reproductive technology, yet predicting its success remains challenging due to the multifaceted interplay of clinical, demographic, and procedural factors. This study develops a robust artificial intelligence (AI) pipeline aimed at predictin...

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Hauptverfasser: Borji, Arezoo, Haick, Hossam, Pohn, Birgit, Graf, Antonia, Zakall, Jana, Islam, S M Ragib Shahriar, Kronreif, Gernot, Kovatchki, Daniel, Strohmer, Heinz, Hatamikia, Sepideh
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Sprache:eng
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