Transforming pediatric speech and language disorder diagnosis and therapy: The evolving role of artificial intelligence

Ankur Bhardwaj , Mridul Sharma , Sahil Kumar , Sumit Sharma , Prabodh Chander Sharma
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Abstract

Integrating artificial intelligence (AI) with healthcare offers a viable way to treat difficult issues like children's speech-sound disorder (SSD).AAC, or augmentative alternative communication, has shown great promise in helping people with SSD, and AI-driven methods hold even more promise for improving diagnosis and therapy. This review paper explores the synergy of AI, ML, and AAC in pediatric speech and language impairments. It also highlights current developments and potential future directions. Healthcare providers can improve communication outcomes for kids with speech impairments, increase early detection, and provide personalised therapy by utilizing AI and ML techniques. In addition to encouraging parental involvement, the combination of AI and AAC technologies spurs advancements in speech therapy applications. AI has the potential to transform healthcare and improve the quality of life for people with speech and language problems as it develops and works in tandem with medical knowledge.

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改变儿科言语和语言障碍的诊断与治疗:人工智能不断发展的作用
将人工智能(AI)与医疗保健相结合,为治疗儿童言语-声音障碍(SSD)等疑难问题提供了一种可行的方法。AAC(即辅助替代交流)在帮助言语-声音障碍患者方面已显示出巨大的前景,而人工智能驱动的方法在改善诊断和治疗方面前景更为广阔。本综述论文探讨了人工智能、ML 和 AAC 在儿科言语和语言障碍中的协同作用。它还重点介绍了当前的发展情况和潜在的未来方向。医疗保健提供商可以利用人工智能和 ML 技术改善有语言障碍的儿童的沟通效果,提高早期检测率,并提供个性化治疗。除了鼓励家长参与外,人工智能和 AAC 技术的结合还能促进语言治疗应用的进步。随着人工智能的发展和与医学知识的结合,它有可能改变医疗保健,改善有语言障碍的人的生活质量。
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来源期刊
Health sciences review (Oxford, England)
Health sciences review (Oxford, England) Medicine and Dentistry (General)
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