From data to delivery: a mini-review on the clinical applications and challenges of artificial intelligence in obstetric anesthesia and analgesia - Takeaways - MDSpire

From data to delivery: a mini-review on the clinical applications and challenges of artificial intelligence in obstetric anesthesia and analgesia

  • By

  • Krešimir Reiner

  • Ivan Krešimir Lukić

  • Anita Lukić

  • June 23, 2026

  • 0 min

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  • 1

    Artificial intelligence is transforming anesthesiology through predictive analytics, real-time surveillance, and clinical decision support.

  • 2

    AI has shown potential in predicting obstetric complications like preeclampsia and postpartum hemorrhage.

  • 3

    Current AI applications in obstetric anesthesiology include machine learning-enhanced ultrasound and predicting spinal anesthesia-induced hypotension.

  • 4

    Challenges in AI integration include data variability, algorithmic bias, and difficulties in clinical workflow incorporation.

  • 5

    Future studies should focus on prospective validation and interpretable models, with AI serving as an adjunct to clinician expertise.

Original Source(s)

From data to delivery: a mini-review on the clinical applications and challenges of artificial intelligence in obstetric anesthesia and analgesia

  • by Krešimir Reiner, Ivan Krešimir Lukić, Anita Lukić

  • June 23, 2026

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