O-098 Embryo selection using Artificial Intelligence (AI): Epistemic and ethical considerations

AbstractStudy questionWhat are the epistemic and ethical considerations of clinically implementing Artificial Intelligence (AI) algorithms in embryo selection?Summary answerAI embryo selection algorithms used to date are “black-box” models with significant epistemic and ethical issues, and there are no trials assessing their clinical effectiveness.What is known alreadyThe innovation of time-lapse imaging offers the potential to generate vast quantities of data for embryo assessment. Computer Vision allows image data to be analysed using algorithms developed via machine learning which learn and adapt as they are exposed to more data. Most algorithms are developed using neural networks and are uninterpretable (or “black box”). Uninterpretable models are either too complicated to understand or proprietary, in which case comprehension is impossible for outsiders. In the IVF context, these outsiders include doctors, embryologists and patients, which raises ethical questions for its use in embryo selection.Study design, size, durationWe performed a scoping review of articles evaluating AI for embryo selection in IVF. We considered the epistemic and ethical implications of current approaches.Participants/materials, setting, methodsWe searched Medline, Embase, ClinicalTrials.gov and the EU Clinical Trials Register for full text papers evaluating AI for embryo selection using the following key words: artificial intelligence* OR AI OR neural network* OR machine ...
Source: Human Reproduction - Category: Reproduction Medicine Source Type: research

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