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Human Egg Maturity Assessment and Its Clinical Application

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Rupture Prediction for Microscopic Oocyte Images of Piezo Intracytoplasmic Sperm Injection by Principal Component

Naomi Yagi¹, Hyodo Tsuji², Takashi Morimoto³

¹Advanced Medical Engineering Research Institute, University of Hyogo, Himeji 670-0836, Japan.

Journal of Clinical Medicine

|November 11, 2022

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Artificial intelligence (AI) can predict oocyte rupture during assisted reproductive technology (ART) procedures like piezo intracytoplasmic sperm injection (Piezo-ICSI). This AI approach achieved 91.4% accuracy, improving ART outcomes.

Area of Science:

Reproductive biology
Medical technology
Artificial intelligence

Background:

Assisted reproductive technology (ART) has significantly improved clinical pregnancy rates.
Piezo intracytoplasmic sperm injection (Piezo-ICSI) requires careful oocyte membrane puncture.
Oocyte cytoplasmic membrane extensibility is linked to rupture risk, but consensus is lacking.

Purpose of the Study:

To evaluate artificial intelligence (AI) for predicting oocyte rupture during Piezo-ICSI.
To establish AI's superiority in identifying rupture-prone oocytes before puncture.

Main Methods:

Retrospective analysis of 38 ruptured and 55 non-ruptured oocytes.
Application of machine learning, specifically the support-vector machine method.

Keywords:

Piezo-ICSI oocyte principal component analysis rupture support-vector machine

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Image analysis to assess oocyte surface characteristics and predict rupture tendency.

Main Results:

The support-vector machine model achieved a 91.4% accuracy rate in predicting oocyte rupture.
AI demonstrated superior capability in identifying oocytes at risk of rupture.
Identified key microscopic features correlating with oocyte membrane extensibility and rupture.

Conclusions:

AI technologies offer a significant benefit to ART by predicting oocyte rupture.
AI can enhance the safety and efficacy of Piezo-ICSI procedures.
This predictive capability of AI can improve ART success rates and reduce complications.