Evidence map›Paper›PMID 38178785›Full record

ArticleThe Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association2025

Easing the Burden on Caregivers- Applications of Artificial Intelligence for Physicians and Caregivers of Children with Cleft Lip and Palate.

Sara C Chaker, Ya-Ching Hung, Mariam Saad, Michael S Golinko, Izabela A Galdyn

Abstract read
In one paragraph

Article in The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. AI in pediatric surgery: a narrative review.Translational pediatrics · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Management of orofacial clefts in times of artificial intelligence: advances and challenges.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2024
    Article
  10. Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sara C ChakerDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-5259-0941
Ya-Ching HungDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0003-1061-4252
Mariam SaadDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
Michael S GolinkoDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
Izabela A GaldynDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveMany caregivers of children with cleft lip and palate experience a high level of anxiety throughout their child's medical and surgical care. We aim to evaluate artificial intelligence (AI) as a tool to mitigate these feelings and can aid clinicians in the development of robust pediatric educational materials for caregivers and families.DesignThirteen of the most common postoperative questions following cleft lip and/or palate repair were developed by an expert panel of senior Pediatric Plastic Surgeons and were posed to ChatGPT. Professional answers from the expert panel were provided and compared to responses from ChatGPT. A literature review was also conducted to generate a new support model for caregivers with children undergoing a surgical procedure.SettingDepartment of Pediatric Plastic Surgery at a metropolitan Children's Hospital.ParticipantsSenior Pediatric Plastic Surgeons at a metropolitan Children's Hospital.InterventionsNone.Main Outcome MeasureThe primary outcome was to determine the ability of ChatGPT to respond to common postoperative questions and to develop a model for AI assistance in family-centered perioperative care.ResultsChatGPT had a postoperative question response accuracy rate of 69% when compared with subject matter expert responses, with its greatest errors being information errors. An extensive literature search revealed that AI can assist in multiple traditional perioperative strategies to reduce caregivers and patient anxiety.ConclusionsArtificial Intelligence can help to reduce the burden of generating patient education materials as well as support caregivers in multiple aspects and perioperative care.

Indexed as

AnxietyArtificial IntelligenceCaregiversCleft LipCleft PalateChildFemaleHumansMaleSurveys and Questionnairesartificial intelligencecleft lip and palatequality improvement

Identifiers

PMID38178785
PMCPMC12075888

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.