This workshop is designed to provide participants with a comprehensive introduction to emerging digital methodologies and technologies in speech and language pathology. Attendees will gain hands-on experience using cutting-edge software and applications that enhance the assessment, diagnosis, and treatment of various speech and language disorders. The workshop will cover a variety of topics, including effective telepractice models, advanced computer-based assessment tools, and the integration of mobile technology within therapeutic settings. By engaging in this workshop, participants will not only enhance their skill set but also learn how to effectively implement these digital solutions in their clinical practice for improved patient outcomes.
This workshop focuses on early intervention strategies for children with speech and language difficulties, providing a deep understanding of child development stages and foundational intervention principles. Attendees will learn to identify candidates for intervention, recognize necessary professional qualifications, and utilize assessment tools for early detection. The workshop includes setting targeted goals and practicing evidence-based support methods in group settings. Participants will also explore digital health transformation with a speech and language data management platform, and the role of AI and machine learning in early detection and treatment. Ethical considerations in using these technologies for children will also be reviewed.
This workshop is designed to comprehensively explore the innovative applications of artificial intelligence (AI) within speech and language pathology. Participants will gain a thorough understanding of how various AI tools and methodologies are being integrated into clinical practices, significantly enhancing diagnostics, treatment planning, and therapy outcomes for individuals with speech and language disorders. Furthermore, the workshop will review relevant case studies and current research that highlight both the effectiveness and challenges of implementing AI in real-world therapeutic settings. Attendees will leave equipped with valuable insights on leveraging AI to improve clinical practices and enhance patient care in their professional environments.
This workshop is designed to equip participants with foundational knowledge of apraxia of speech, emphasizing its physiological characteristics, causes, signs and symptoms, diagnostic procedures, and treatment strategies. Participants will engage in a comprehensive review of recent literature, focusing on advancements in the use of artificial intelligence (AI) and digital tools that enhance the diagnosis and treatment of apraxia of speech. Additionally, the workshop will introduce the AI-powered data management platform “iPeople.wd.SLH,” which supports clinicians in managing apraxia cases effectively. By the end of the workshop, attendees will gain valuable insights for improving their clinical practices and patient outcomes.
This workshop aims to provide participants with a foundational understanding of how generative artificial intelligence (AI) is transforming the field of speech and language pathology. Targeted at speech-language pathologists, researchers, and students, it bridges traditional therapy methods with advanced AI applications. Participants will learn basic principles of generative AI, including training processes and the generation of speech and text outputs. The workshop will also examine various AI tools and their potential applications in diagnostics and therapy, focusing on treating speech disorders, facilitating language acquisition, and aiding rehabilitation following neurological events, thus enhancing clinical practices in speech-language pathology.
This workshop is designed to capacitate participants with essential knowledge about fluency disorders, with a specific focus on developmental stuttering and cluttering. It will cover physiological characteristics, etiologies, diagnostic procedures, and treatment strategies for these disorders. Participants will review recent literature on the use of artificial intelligence (AI) and digital tools in diagnosing and treating developmental stuttering and cluttering. Additionally, the workshop will introduce the AI-powered data management platform “iPeople.wd.SLH” as a resource for supporting clinical cases. Target audiences include speech and language therapists, researchers, and graduate students specializing in speech and language pathology and digital health technologies.
This workshop aims to capacitate participants with foundational knowledge of voice disorders, focusing on their physiological characteristics, etiologies, signs, symptoms, diagnostic procedures, and treatment strategies. Attendees will review recent literature on advancements in artificial intelligence (AI) and digital tools used in diagnosing and treating voice disorders. Additionally, participants will be introduced to the AI-powered data management platform “iPeople.wd.SLH,” which aids in managing such cases. The target audience includes speech and language therapists, researchers in speech pathology and digital health technologies, and graduate students specializing in speech and language pathology, fostering a comprehensive understanding of this field.
This workshop aims to provide participants with foundational knowledge of pediatric dysphagia, focusing on its physiological characteristics, etiologies, signs, symptoms, diagnostic procedures, and treatment strategies. Additionally, participants will review recent literature on advancements in artificial intelligence (AI) and digital tools applied to the diagnosis and treatment of pediatric dysphagia. The target audience includes speech and language therapists, researchers in speech pathology and digital health technologies, and graduate students specializing in this field. By the end of the workshop, attendees will enhance their understanding and competencies in addressing pediatric dysphagia effectively, integrating contemporary AI advancements into their practices.
This workshop aims to deliver foundational knowledge on adult dysphagia, emphasizing its physiological characteristics, etiologies, signs, symptoms, diagnostic procedures, and treatment strategies. Participants will also explore recent literature concerning advancements in artificial intelligence (AI) and digital tools for diagnosing and treating adult dysphagia. The target audience includes speech and language therapists, researchers in speech pathology and digital health technologies, and graduate and postgraduate students specializing in the field. By engaging in this workshop, attendees will enhance their understanding and skills in managing adult dysphagia, integrating contemporary AI advancements into their clinical practices for improved patient outcomes.
This workshop aims to provide participants with foundational knowledge of the physiological characteristics related to speech, feeding, and swallowing in patients with cleft lip and palate. It will cover the diagnostic processes and treatment strategies for addressing difficulties in these areas. Participants will review recent literature on advancements in artificial intelligence (AI) and digital tools that enhance the diagnosis and treatment of speech, feeding, and swallowing issues in affected individuals. The target audience includes speech and language therapists, researchers in speech pathology and digital health technologies, and graduate students, fostering a comprehensive understanding of contemporary practices in this field.
This workshop aims to provide participants with an overview of autism spectrum disorder (ASD), focusing on common speech and language difficulties associated with the condition. It will cover diagnostic procedures and treatment strategies for these challenges, including identifying individuals who might benefit from alternative augmentative communication. Participants will also review recent advancements in artificial intelligence (AI) and digital tools used in diagnosing and treating speech and language issues in individuals with ASD. Targeted towards speech and language therapists, researchers, and graduate students, the workshop aims to enhance understanding and inform effective intervention strategies in this field.
This workshop intends to provide foundational knowledge regarding learning disabilities, with a specific emphasis on dysgraphia, dyslexia, and dyscalculia. Participants will explore the roles involved in diagnosing and treating these disorders while understanding their significant effects on academic performance, social interactions, and overall quality of life. Additionally, the workshop will offer a comprehensive review of recent advancements in artificial intelligence (AI) and digital tools that enhance diagnosis and treatment strategies, highlighting innovative approaches within the field. Targeting speech and language therapists, researchers, and graduate students, this workshop aims to equip attendees with practical knowledge for application in their professional settings.
This workshop provides participants with a comprehensive overview of the challenges faced by patients following laryngectomy. It will cover common speech and swallowing difficulties experienced by these individuals, along with effective diagnostic procedures and treatment strategies to address these issues. Additionally, participants will engage in a thorough review of recent literature focusing on advancements in artificial intelligence (AI) and digital tools that enhance the diagnosis and treatment of speech and swallowing difficulties related to laryngectomy. The target audience includes speech and language therapists, researchers in speech pathology and digital health technologies, and graduate students specializing in this field.
This workshop aims to provide participants with in-depth knowledge of alternative augmentative communication (AAC), covering various types, the populations they serve, and the assessment processes for identifying suitable AAC devices for individuals. Participants will learn about the implementation of AAC across different environments and the pivotal role of speech-language pathologists (SLPs) in facilitating the use of these devices. Additionally, the workshop will include a comprehensive review of recent literature highlighting advancements in the application of artificial intelligence (AI) within AAC. The target audience comprises speech and language therapists, researchers in speech pathology and digital health technologies, and graduate students in the field.
This workshop aims to capacitate participants with foundational knowledge about aphasia, emphasizing its physiological characteristics, causes, signs and symptoms, diagnostic procedures, and treatment strategies. Participants will explore recent literature highlighting advancements in the use of artificial intelligence (AI) and digital tools in diagnosing and treating aphasia. Additionally, the workshop will introduce the AI-powered data management platform “iPeople.wd.SLH,” designed to support clinicians in managing aphasia cases effectively. The target audience includes speech and language therapists, researchers focused on speech pathology and digital health technologies, and graduate students specializing in this field, ensuring a comprehensive understanding of contemporary approaches to aphasia management.
This workshop explores the transformative role of artificial intelligence (AI) and digital technologies in paediatric audiology, targeting audiologists, healthcare professionals, hospital administrators, technology developers, researchers, and educators. It aims to develop and enhance understanding of AI advancements, thus improving diagnostic accuracy, facilitating early intervention, and elevating patient care for children with hearing impairments. Attendees learn about automated audiometry systems, and AI-powered hearing aids that adapt to real-time acoustic environments for better speech recognition. The workshop also covers tele-audiology, ethical considerations regarding data privacy and consent, and the use of AI in enhancing diagnostic imaging for complex conditions. Additionally, wearable devices for continuous hearing monitoring are discussed, highlighting the significance of real-time data in managing children's hearing health. Participants leave capacitated with the skills to implement AI-driven technologies in clinical practice, strategies for integration into existing workflows, and methods for promoting equitable access to services, ultimately ensuring improved outcomes for children with hearing impairments.
This workshop critically reflects the transformative role of artificial intelligence (AI) in programming of hearing aids. Targeted at audiologists, hearing aid specialists, and healthcare professionals, this workshop blends theoretical knowledge with practical application, enabling participants to explore innovative strategies for integrating AI technologies into hearing aids programming. The workshop introduces AI algorithms that allow real-time adjustments to hearing aid settings based on environmental factors and individual user profiles. Through hands-on programming sessions, participants will engage with leading hearing aid software, gaining insights into the efficiency of AI-assisted programming. The workshop also addresses the ethical implications of AI integration in clinical practice, focusing on data privacy and the importance of patient confidentiality. Participants will collaboratively and in group-based settings explore regulatory frameworks governing AI use in healthcare, including the identification of equitable access strategies for diverse patient populations.
This workshop aims to explore the integration of AI in tele-audiology, showcasing how these advanced technologies can enhance patient care, improve access to services, and streamline clinical workflows. As telehealth becomes increasingly integral to service delivery, it is vital for audiologists and related healthcare professionals to understand the role of AI in facilitating remote audiological assessments and interventions. The workshop seeks to bridge traditional audiological practices with modern telehealth methodologies, demonstrating how AI can revolutionise hearing assessments and diagnoses conducted remotely. Participants will learn to utilise AI-driven solutions to provide patient-centred care and tailor interventions based on individual needs, ultimately improving clinical outcomes for patients with hearing impairments. Additionally, the workshop addresses the essential role of data analytics and machine learning in refining assessments and enhancing user experiences through real-time feedback. It also facilitates a deeper understanding of the ethical implications of AI in telehealth, including data privacy and informed consent. By the conclusion, participants will be capacitated with comprehensive knowledge on effectively utilising AI technologies, ensuring improved patient experiences and outcomes in hearing health across diverse populations.
This workshop explores the integration of AI within cochlear implant technology, offering audiologists critical insights into contemporary advancements in auditory care. Participants will engage with various AI applications, focusing on how these technologies enhance sound processing and personalisation, thereby improving patient outcomes. Hands-on training with AI-assisted programming systems allows attendees to experience firsthand the real-time adjustments these devices can make based on user preferences and environmental factors. Furthermore, the workshop addresses the ethical implications of AI integration, emphasising the importance of data privacy, informed consent, and the need to mitigate algorithmic bias to ensure equitable treatment across diverse patient populations. Participants will collaboratively engage in group-based settings with case studies of successful implementations of AI in cochlear implant systems, thereby reinforcing the transformative potential of these innovations. By the conclusion, participants will be capacitated with both practical skills and a comprehensive understanding of the ethical considerations inherent in AI technologies, thereby enhancing their clinical practices and patient experiences in the evolving landscape of audiology.
This workshop aims to capacitate audiologists, physiotherapists, otolaryngologists, neurologists, rehabilitation specialists, researchers in vestibular science, and health informatics professionals with the necessary skills and knowledge to integrate AI into clinical practice for managing balance disorders. As these conditions significantly affect patients' quality of life, innovative AI solutions can enhance diagnostic accuracy and personalisetreatment strategies. Participants will gain insights into AI's transformative potential in vestibular assessment, including algorithms that analyse complex datasets to reveal patterns in gait and balance that conventional diagnostics might overlook. The hands-on training will focus on AI-driven diagnostic tools and personalised rehabilitation approaches, demonstrating how to tailor interventions according to individual patient profiles. Ethical considerations, such as data privacy and algorithmic bias, will also be addressed to prepare participants for the complexities of implementing AI in clinical environments. The workshop fosters a collaborative atmosphere, encouraging knowledge sharing and critical discussion about the applications of AI in healthcare. By its conclusion, attendees will emerge empowered to embrace AI technologies, facilitating a shift towards more efficient, accurate, and patient-centred care in the management of balance disorders.