MSHA 2025 Virtual Healthcare Conference
Artificial intelligence is increasingly shaping the future of healthcare, including the field of speech-language pathology. This session provides a practical overview of how AI tools are being used to support clinical work, from assessment to intervention. Participants will explore real-world examples of AI integration in practice, with attention to how these technologies can streamline workflows, enhance accuracy, and improve patient outcomes. The session will also address the ethical considerations that accompany the use of AI in clinical settings, including concerns around bias, data privacy, and the evolving role of the clinician. Attendees will gain the knowledge needed to engage with AI tools thoughtfully and responsibly in their own practice.
Registration fees:
MSHA Member - $35.00
Non-Member - $60.00
Students - $15.00
Registration is now open!
Register Now!Learning Objectives:
1. Identify current and emerging applications of AI in clinical speech-language pathology.
2. Evaluate the potential benefits and limitations of AI in supporting clinical decision-making.
3. Describe key ethical and professional considerations when integrating AI into clinical care.
Financial disclosure: Dr. Zraick received an honorarium, and he is employed full time by the University of Central. Florida
Timed Agenda:0:00 – 0:05 Welcome and Objectives
- Overview of session goals and learning outcomes
0:05 – 0:15 The AI Landscape in Healthcare
- Definitions and trends
- Future-ready competencies for SLPs
0:15 – 0:25 AI in Clinical SLP Practice
- Real-world applications of AI tools
- Use cases in assessment and intervention
0:25 – 0:35 LLMs and ChatGPT
- Overview of large language models
- Practical SLP applications
0:35 – 0:45 Risks, Limitations, and Ethical Considerations
- What AI gets wrong
- ASHA Code of Ethics
- Bias, privacy, and accuracy concerns
0:45 – 0:55 Evaluating AI Tools
- The CARE-AI and VALID frameworks
- Demonstration of rubric use
0:55 – 1:05 Faculty and Student Preparation
- Integrating AI into training and education
- Building future-ready SLPs
1:05 – 1:15 Open Discussion and Q&A
- Audience engagement
- Addressing concerns and opportunities
1:15 – 1:30 Wrap-Up and Key Takeaways
- Final thoughts
- Resources and next steps
- Q&A