2023
DOI: 10.1097/gox.0000000000004985
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Smartphone Integration of Artificial Intelligence for Automated Plagiocephaly Diagnosis

Ayden Watt,
James Lee,
Matthew Toews
et al.

Abstract: Background: Positional plagiocephaly is a pediatric condition with important cosmetic implications affecting ∼40% of infants under 12 months of age. Early diagnosis and treatment initiation is imperative in achieving satisfactory outcomes; improved diagnostic modalities are needed to support this goal. This study aimed to determine whether a smartphone-based artificial intelligence tool could diagnose positional plagiocephaly. Methods: A prospective validation study was conducted at a large tertiary care cen… Show more

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Cited by 4 publications
(2 citation statements)
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“…Table 1), despite the fact that the three models keep the same roots, i.e., processor, imaging sensor, and ultra-wide-angle lens for the rear camera. In addition, the choice was also rooted in the exploration of alternatives to the iPhone's smartphones [14,16].…”
Section: Smartphonesmentioning
confidence: 99%
See 1 more Smart Citation
“…Table 1), despite the fact that the three models keep the same roots, i.e., processor, imaging sensor, and ultra-wide-angle lens for the rear camera. In addition, the choice was also rooted in the exploration of alternatives to the iPhone's smartphones [14,16].…”
Section: Smartphonesmentioning
confidence: 99%
“…Another option for diagnosis is the integration of artificial intelligence for determining plagiocephaly in mobile applications [14,15]. Nevertheless, further research, namely extensive, high-quality training datasets, are still pending to achieve high statistical estimates.…”
Section: Introductionmentioning
confidence: 99%