In this episode, we’re diving into the world of AI and how it’s showing up in speech-language pathology. We looked at two articles—one on using AI to rate dysarthria severity, and another on using ChatGPT to help make therapy materials. We’ll break down the basics of machine learning and deep learning, talk about what works (and what’s still kind of clunky), and share how we’ve been using these tools in real-life sessions. Whether you’re AI-curious or already experimenting, this one’s for you.

You’ll learn:



The difference between machine learning and deep learning in speech assessment




How AI models can rate dysarthria severity with up to 90% accuracy




Why acoustic features like pitch, jitter, and shimmer are key inputs in AI analysis




How SLPs can use ChatGPT to generate therapy prompts for speech, language, and cognition




The limitations of AI, including hallucinated references and lack of language comprehension




Practical ideas for applying AI-generated content to your caseload




Why AI won’t replace SLPs—but can absolutely make our jobs easier




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