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AI-Generated Maternal Voice Storytelling During Pediatric Adenotonsillectomy

NCT07706725 · tracked via the Priya Life Science Turkey tracker
Phase
Not applicable
Started
2026-07-20
Last updated
2026-07-16

Condition(s) studied

PediatricAdenotonsillectomy

Investigational drug(s) / intervention(s)

AI-Generated Maternal Voice StorytellingRelaxing Instrumental Musicmidazolam premedicationStandard General Anesthesia CareHeadphones

AI-Generated Maternal Voice Storytelling: Personalized storytelling generated using artificial intelligence voice synthesis based on a pre-recorded maternal voice sample. The audio intervention will be delivered through headphones after preoperative sedation and continued throughout the perioperative period until recovery.

Relaxing Instrumental Music: Relaxing instrumental music delivered through headphones after preoperative sedation and continued throughout the perioperative period until recovery.

midazolam premedication: All participants receive intravenous midazolam as standard premedication before anesthesia induction according to the institutional pediatric anesthesia protocol to reduce preoperative anxiety and facilitate smooth separation from parents.

Standard General Anesthesia Care: All participants receive standardized general anesthesia according to the institutional pediatric anesthesia protocol. Anesthesia is induced with intravenous propofol, fentanyl, and rocuronium, followed by endotracheal intubation. Anesthesia is maintained with sevoflurane in an oxygen/air mixture throughout the surgical procedure. Intraoperative monitoring and anesthetic management are standardized for all study groups.

Headphones: Over-ear headphones are used in all study groups during the perioperative period. In the AI-generated maternal voice storytelling and relaxing music groups, the headphones deliver the assigned auditory intervention. In the control group, headphones are worn without audio playback to minimize exposure to environmental noise and to maintain consistency across study groups.

Study summary

This prospective, three-arm randomized controlled trial aims to evaluate the effects of AI-generated maternal voice storytelling on the perioperative stress response, emergence delirium, anesthetic requirements, and perioperative physiological parameters in children undergoing elective adenotonsillectomy. Participants will be randomly assigned to receive AI-generated maternal voice storytelling, relaxing instrumental music, or standard perioperative care. Standardized anesthesia protocols will be used in all groups, and perioperative outcomes will be compared among the three study arms.

Eligibility

Sex
ALL
Min age
3 Years
Max age
12 Years
Healthy volunteers
No
Inclusion Criteria: * Children aged 3 to 12 years. * Scheduled for elective adenotonsillectomy under general anesthesia. * American Society of Anesthesiologists (ASA) physical status I or II. * Written informed consent obtained from a parent or legal guardian. Exclusion Criteria: * Hearing impairment or inability to receive auditory stimulation. * Developmental delay, neurological or psychiatric disorders. * Use of sedative, antipsychotic, or anticonvulsant medications. * Known allergy or contraindication to study medications. * Refusal of participation by the parent/legal guardian.

Primary outcome measure(s)

  • Emergence Delirium — From admission to the post-anesthesia care unit until 30 minutes after arrival.
    Emergence delirium will be assessed using the Pediatric Anesthesia Emergence Delirium (PAED) Scale. The PAED Scale consists of five items, with total scores ranging from 0 to 20. Higher scores indicate more severe emergence delirium, whereas lower scores indicate less or no emergence delirium.

Trial sites (1)

FacilityCityRegionStatus
Adıyaman University Adıyaman Turkey (Türkiye)
Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT07706725 on ClinicalTrials.gov ↗ ← All trials in Turkey