
Application of Artificial Intelligence in Infant Movement Classification
This course gives an overview of the article Application of Artificial Intelligence in Infant Movement Classification, highlighting AI’s potential to support early detection of neuromotor disorders. Key topics include the benefits and limitations of AI for remote assessments, methodological factors such as video quality and caregiver involvement, and the ethical considerations shaping clinical use.
Learning Objectives:
- Understand the application of artificial intelligence in infant movement classification and its implications for clinical practice.
- Discuss methodological, ethical, and practical considerations in implementing advanced rehabilitation technologies.
- Develop strategies for personalized interventions and shared decision-making in clinical settings.
Course Instructions
- Click on the Contents tab to watch the course recording.
- Click the Take Quiz button to complete the assessment. Learners will have 3 attempts to pass and must answer at least 70% of questions correctly.
- Click Fill Out Survey under the Evaluation listing to provide valuable course feedback. Scroll down on all questions as there may be answer options that expand past the size of the window.
- Click the View/Print Your Certificate button under the Certificate listing. You can view/print your certificate at any time by visiting the APTA Learning Center and clicking the CEU Certificate/Transcript link on the left-hand side of the page.
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Read the Article: AI in Infant Movement
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Agree to terms to continue.
Please review the following article - Application of Artificial Intelligence in Infant Movement Classification: A Reliability and Validity Study in Infants Who Were Full-Term and Preterm
https://academic.oup.com/ptj/article/104/2/pzad176/7584586?login=true
5 x 5 Article Review
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Open to view video.
Please watch the 5 x 5 article review by Suh-Fang Jeng, PT, ScD.