This literature research had two main objectives. The first objective was to quantify how
frequently artificial intelligence (AI) was utilized in dental literature from 2011 until 2021. The …

Objective: The objective of this systematic review was (a) to explore the current clinical
applications of AI/ML (Artificial intelligence and Machine learning) techniques in diagnosis …

Objective: This sco** review aims to identify the various areas and current status of the
application of artificial intelligence (AI) for aiding individuals with cleft lip and/or palate …

Objectives: Evaluation of hypernasality requires extensive perceptual training by clinicians
and extending this training on a large scale internationally is untenable; this compounds the …

Early detection and evaluation of children at risk of neurodevelopmental disorders and/or
communication deficits is critical. While the current literature indicates a high prevalence of …

Screening and evaluation of developmental disorders include complex and challenging
procedures, exhibit uncertainties in the diagnostic fit, and require high clinical expertise …

The human voice has the potential to serve as a valuable biomarker for the early detection,
diagnosis, and monitoring of pediatric conditions. This sco** review synthesizes the …

Velopharyngeal insufficiency (VPI), which is the incomplete closure of the velopharyngeal
valve during speech, is a typical poor outcome that should be evaluated after cleft palate …

Introduction: This systematic review examines the use of machine learning (ML) algorithms
to detect hypernasal speech in patients with cleft palate (CP), which can persist after primary …

Featured Application The results of this study provide key information, both linguistic and
technical, to use signals recorded close to the nose to evaluate hypernasality automatically …