IA Générative et Orthophonie appliquée aux troubles du langage oral et écrit

Training Overview

This training enables speech-language therapists to integrate generative artificial intelligence into their clinical practice in order to optimize assessments, improve diagnostic accuracy, and personalize therapeutic interventions. Drawing on recent methodologies and advances in artificial intelligence, it provides practical tools (such as ChatGPT) and concrete strategies for the assessment and rehabilitation of oral and written language disorders.

The training responds to a growing need for innovation in speech and language therapy, in light of the challenges associated with the evaluation and management of oral and written language disorders. Generative AI now offers advanced solutions for analyzing language productions, drafting assessment reports, and creating tailored therapeutic materials.

Through this training, speech-language therapists will acquire applied expertise in the use of generative AI by mastering tools and strategies that enhance diagnostic precision, clinical data processing, and the generation of personalized interventions, while fully respecting ethical principles and regulatory requirements, particularly the GDPR.

Training Objectives

Educational Objectives of the Training

To integrate generative AI tools into daily clinical practice in order to optimize assessments, therapy, and the creation of personalized materials.
To explore AI applications as diagnostic support tools, particularly in the analysis of language productions to identify recurring patterns.
To access the latest scientific research and publications on assessment methods and management of oral and written language disorders, in connection with advances in AI.
To learn how to design evidence-based therapeutic projects, with specific objectives and strategies tailored to patients’ needs, supported by AI tools.
To become familiar with the ethical and regulatory issues related to the use of AI in healthcare, particularly patient data protection under the GDPR (General Data Protection Regulation), as well as confidentiality and information security requirements.

Operational and Measurable Objectives of the Training

At the end of the training, participants will be able to:

Use generative AI models such as ChatGPT to optimize the assessment and diagnosis of oral and written language disorders.
Produce detailed and personalized speech-language assessment reports using artificial intelligence tools.
Design individualized rehabilitation programs by generating exercises adapted to patients’ specific needs.
Apply prompt engineering methodologies to obtain relevant and clinically meaningful outputs for assessments and therapeutic management.
Integrate ethical and regulatory principles related to the use of AI in speech-language therapy, particularly patient data protection in accordance with the GDPR.

Training Overview

Training Objectives

Educational Objectives of the Training

To integrate generative AI tools into daily clinical practice in order to optimize assessments, therapy, and the creation of personalized materials.
To explore AI applications as diagnostic support tools, particularly in the analysis of language productions to identify recurring patterns.
To access the latest scientific research and publications on assessment methods and management of oral and written language disorders, in connection with advances in AI.
To learn how to design evidence-based therapeutic projects, with specific objectives and strategies tailored to patients’ needs, supported by AI tools.
To become familiar with the ethical and regulatory issues related to the use of AI in healthcare, particularly patient data protection under the GDPR (General Data Protection Regulation), as well as confidentiality and information security requirements.

Operational and Measurable Objectives of the Training

At the end of the training, participants will be able to:

Use generative AI models such as ChatGPT to optimize the assessment and diagnosis of oral and written language disorders.
Produce detailed and personalized speech-language assessment reports using artificial intelligence tools.
Design individualized rehabilitation programs by generating exercises adapted to patients’ specific needs.
Apply prompt engineering methodologies to obtain relevant and clinically meaningful outputs for assessments and therapeutic management.
Integrate ethical and regulatory principles related to the use of AI in speech-language therapy, particularly patient data protection in accordance with the GDPR.