Evidence map›Paper›PMID 41313319›Full record

ArticleThe Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association2026

Smartphone and AI Workflow for 3D Printed Plate for Presurgical Therapy in Cleft Lip and Palate: Retrospective Evaluation of Outcomes.

Prasad Nalabothu, Hemwati Nandan, Srinivas Gosla Reddy, Andreas A Mueller

Abstract read
In one paragraph

Article in The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Prasad NalabothuDepartment of Oral and Craniomaxillofacial Surgery, University Hospital Basel, Basel, Switzerland.ORCID 0000-0003-2442-7618
Hemwati NandanGSR Institute of Cranio-Maxillofacial and Facial Plastic Surgery, Hyderabad, Telangana, India.ORCID 0000-0003-1874-6321
Srinivas Gosla ReddyGSR Institute of Cranio-Maxillofacial and Facial Plastic Surgery, Hyderabad, Telangana, India.
Andreas A MuellerDepartment of Oral and Craniomaxillofacial Surgery, University Hospital Basel, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveTo explore clinical feasibility of smartphone and AI-assisted workflow for presurgical orthopedic therapy in newborns with unilateral cleft lip and palate (UCLP).DesignRetrospective exploratory cohort study.SettingA tertiary craniofacial center.PatientsTwenty consecutive (13 females, 7 males) with non-syndromic complete UCLP treated 2022-2024.InterventionsPassive presurgical plates fabricated through smartphone scanning of impressions, AI-assisted automated plate design and 3D printing.Main Outcome MeasuresClinical outcomes (treatment duration, visits, complications) and morphological changes (anterior cleft width, cleft area, IMT angle, maxillary segment areas).ResultsTherapy began at 10.8 ± 5.7 days, lasted 113.5 ± 15.6 days and required a mean of five visits. Anterior cleft width and cleft area reduced 56.8% and 40.8% with significant maxillary segment growth.ConclusionsSmartphone and AI assisted workflows showed feasibility of safe, efficient presurgical plate fabrication and therapy, streamlining production and accessibility while reducing procedural burden. The findings remain preliminary and should be interpreted with caution.

Indexed as

Artificial IntelligenceCleft LipCleft PalatePrinting, Three-DimensionalSmartphoneFeasibility StudiesFemaleHumansInfant, NewbornMalePreoperative CareRetrospective StudiesTreatment OutcomeWorkflowcleft lipcleft palatesmartphonetechnological innovations.

Identifiers

PMID41313319
PMCPMC12953659

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Registered trials

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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.