決して無益なことではない:人工知能は,質が悪い胚しか利用できないときに,胚学者たちを助けることができるのか?
Nina Gidel-Dissler1, Guillaume Canat1, Pierre Boyer2
1ImVitro, Paris, France.
Reproductive biomedicine online
|February 12, 2026
まとめ
人工知能 (AI) システムであるEMBRYOLYは,胚学者たちが,適切な選択肢が存在しない場合に,移植のために,低品質の生存可能な胚を選択するのを支援します. このAIツールは,妊娠の結果と有意な関連性を示し,不妊治療の効率を改善することができます.
科学分野:
- 生殖医学は,生殖器医学である.
- 医療における人工知能
- 胚学 胚学について
背景:
- 胚の評価は,試験管内受精 (IVF) の成功に不可欠です.
- 高品質の胚の限られた可用性は,IVFにおける課題となっています.
- 臨床的意思決定を支援するために,客観的な胚評価ツールが必要です.
研究 の 目的:
- 胚の評価で胚学者を支援するAIシステムであるEMBRYOLYの有効性を評価する.
- EMBRYOLYが,より優れた選択肢がない場合の移植のために,低品質の生存可能な胚を特定するのに役立つかどうかを判断する.
- EMBRYOLYの臨床妊娠および生育率への影響を評価する.
主な方法:
- 2019年から2024年までの15の診療所 (4カ国) の15767個の胚のデータを利用した.
- EMBRYOLYのトランスフォーマーベースのモデルを使用して,質の低い胚を分析し,胚学者による評価と比較しました.
- 評価された合意,妊娠の結果,妊娠までの時間,EMBRYOLYが推奨する低品質の胚と非低品質の胚を比較する.
主要な成果:
- 胚学者らは29%の症例で,質が悪い胚しか見つからなかった.
- EMBRYOLYのトップの胚選択は,66%のケースで胚学者と一致しました.
- EMBRYOLYのスコアは,臨床妊娠および生産 (P<0.001) と有意に関連していました.
- EMBRYOLYの補助使用は,妊娠までのサイクルを19%短縮し,最初のサイクル妊娠率を65%増加させることができる.
- EMBRYOLYが推奨した低品質の胚は,高品質の胚と比べ,妊娠の可能性が比較可能であった.
結論:
- EMBRYOLYのような客観的に訓練されたAIは,胚学者たちに,低品質の生存可能な胚を選択するのに効果的に助けることができます.
- このAIの支援は,高品質の胚が移植に利用できない場合に特に価値があります.
- EMBRYOLYは,IVFの効率と成功率を改善する可能性を証明しています.
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