Not_yet_recruitingNCT07614516

Prediction of Local Anaesthetic Dosing During Labour Epidural Analgesia: a Machine-learning Approach. The DIANA (Dosing Intrapartum ANAesthetics) Study.

Sponsor: Fondazione Policlinico Universitario Agostino Gemelli IRCCS

Trial Details

Condition	Labour Analgesia
Intervention	Machine-learning prediction model
Status	Not_yet_recruiting
Participants	12,500
Est. Completion	30 Sept 2026
Last Updated	29 May 2026

Primary Outcome

Machine-learning algorithm able to predict the LA consumption

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * Parturients receiving neuraxial analgesia for labour, as clinical practice Exclusion Criteria: * Planned caesarean delivery

Trial Sites

Countries

Italy

View Registry Entry

Related Analysis

DIANA Study: Machine Learning to Predict Epidural Anaesthetic Dosing in Labour — Personalised Pain Management on the Horizon

The DIANA study aims to revolutionise epidural analgesia by developing machine-learning algorithms to predict individual local anaesthetic requirements during labour. This groundbreaking research could personalise pain management for 12,500 parturients, moving beyond one-size-fits-all dosing protocols.

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