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January 1, 2024Journal of Obstetric Anaesthesia and Critical CareOpen Access

Artificial intelligence shows promise in obstetric anesthesia for airway assessment, neuraxial block guidance, and hemodynamic prediction, but widespread clinical implementation is still a long wait.

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Design

Review

Key result

Artificial intelligence shows promise in obstetric anesthesia for airway assessment, neuraxial block guidance, and hemodynamic prediction, but widespread clinical implementation is still a long wait.

Authors

ATAnjan TrikhaJTJoseph G. Tharion

Discussion

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Overview

AI categorization in obstetric anesthesia remains exploratory; leaves open rigorous outcome trials before clinical adoption.

PICO

P
Population
Obstetric anesthesia
I
Intervention / Comparator
Artificial Intelligence

While AI holds significant potential to improve the safety and efficacy of obstetric anesthesia, extensive data collection and further clinical trials are required before widespread adoption.

Limitations

  • Data acquisition from parturients faces ethical and legal issues including informed consent, privacy, ownership, transparency, data quality, and data protection.

Cite This Study

Trikha et al. (2024) conducted a review in Obstetric anesthesia. Artificial Intelligence was evaluated. Artificial intelligence shows promise in obstetric anesthesia for airway assessment, neuraxial block guidance, and hemodynamic prediction, but widespread clinical implementation is still a long wait.

synapsesocial.com/papers/6a6e78f4e5469ee92be00152https://doi.org/10.4103/joacc.joacc_8_24
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