Purpose of Review <p>Cleft lip and palate (CLP) is a prevalent congenital disorder that impacts children globally. Despite recent advances in understanding CLP aetiology and improvements in surgical interventions and therapies, CLP still results in significant physical, psychological, and societal obstacles for affected children. This study presents a review of the predominant issues that affect children with CLP in the domains of speech, social interaction, hearing, and feeding, revealing speech-related challenges as the most significant factors for children with CLP.</p> Recent Findings <p>A systematic review analysing articles published in Scopus and Web of Science pertaining to robotics and machine learning in the context of CLP is presented following PRISMA guidelines, suggesting the potential for artificial intelligence AI and robots as an aid in speech and language therapy. While existing robot speech production assistants have shown promise in supporting CLP children, research in this area still needs to be completed.</p> Summary <p>In response to these challenges, findings from the systematic literature review were utilised to develop a model for a dedicated speech therapy assistant robot to be used during therapy sessions. Future investigations will seek to ascertain the feasibility of incorporating this model into speech and language therapy sessions for children affected by CLP in partnering clinics in the UK.</p>

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Social Robotics for the Treatment of Children with Cleft Lip and Palate: A Systematic Review

  • Aveen Najm,
  • Esyin Chew,
  • Barry L. Bentley

摘要

Purpose of Review

Cleft lip and palate (CLP) is a prevalent congenital disorder that impacts children globally. Despite recent advances in understanding CLP aetiology and improvements in surgical interventions and therapies, CLP still results in significant physical, psychological, and societal obstacles for affected children. This study presents a review of the predominant issues that affect children with CLP in the domains of speech, social interaction, hearing, and feeding, revealing speech-related challenges as the most significant factors for children with CLP.

Recent Findings

A systematic review analysing articles published in Scopus and Web of Science pertaining to robotics and machine learning in the context of CLP is presented following PRISMA guidelines, suggesting the potential for artificial intelligence AI and robots as an aid in speech and language therapy. While existing robot speech production assistants have shown promise in supporting CLP children, research in this area still needs to be completed.

Summary

In response to these challenges, findings from the systematic literature review were utilised to develop a model for a dedicated speech therapy assistant robot to be used during therapy sessions. Future investigations will seek to ascertain the feasibility of incorporating this model into speech and language therapy sessions for children affected by CLP in partnering clinics in the UK.