AIMC Topic: Ear, External
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Artificial intelligence-based diagnosis in fetal pathology using external ear shapes.
Prenatal diagnosis
Apr 18, 2024
OBJECTIVE: Here we trained an automatic phenotype assessment tool to recognize syndromic ears in two syndromes in fetuses-=CHARGE and Mandibulo-Facial Dysostosis Guion Almeida type (MFDGA)-versus controls.
A publicly available newborn ear shape dataset for medical diagnosis of auricular deformities.
Scientific data
Jan 2, 2024
Early and accurate diagnosis of ear deformities in newborns is crucial for an effective non-surgical correction treatment, since this commonly seen ear anomalies would affect aesthetics and cause mental problems if untreated. It is not easy even for ...
Assessing outcomes of ear molding therapy by health care providers and convolutional neural network.
Scientific reports
Sep 9, 2021
Ear molding therapy is a nonsurgical technique to correct certain congenital auricular deformities. While the advantages of nonsurgical treatments over otoplasty are well-described, few studies have assessed aesthetic outcomes. In this study, we comp...
A biomimetic soft robotic pinna for emulating dynamic reception behavior of horseshoe bats.
Bioinspiration & biomimetics
Dec 7, 2020
Encoding of sensory information is fundamental to closing the performance gap between man-made and biological sensing. It has been hypothesized that the coupling of sensing and actuation, a phenomenon observed in bats among other species, is critical...
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