NOTE: This is an ON-DEMAND COURSE that is accessed virtually using the Academy Learning Portal. You will have three months from the date of registration to complete and review course materials. There is NO ACCREDITATION offered for this course. 

DESCRIPTION
In the rapidly evolving landscape of rehabilitation medicine, the intersection of human ability and machine capabilities has become a focal point for transformative advancements. This symposium will delve into the groundbreaking role that artificial intelligence and machine learning play in reshaping the rehabilitation process and improving patient outcomes. In addition to exploring major advancements in technology development and model optimization, we will discuss some of the challenges that have surfaced with this blurring line between human and machine. Program will include a poster session and networking opportunities. 

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COURSE CHAIRS
R. James Cotton, MD, PhD & Megan K. O'Brien, PhD

AUDIENCE
Engineers, Data Scientists, Physical Therapists, Physical Therapist Assistants, Occupational Therapists, Occupational Therapy Assistants, Nurses, Physicians and Speech-Language Pathologists 

LEARNER OUTCOMES
Upon completion of this course, participants will be able to: 

1. List three emerging human-in-the-loop technologies being applied in clinical rehabilitation
2. Analyze the challenges and opportunities associated with the widespread implementation of these technologies in clinical and community settings
3. Identify real-world examples and case studies highlighting the challenges individuals face in accessing or utilizing rehabilitation technologies
4. Discuss ideas for fostering a collaborative environment where rehabilitation professionals and end users can share insights and provide feedback that advances the development and/or implementation of novel technologies.
5. Describe how artificial intelligence can be used to enhance technology utilization and implementation

ABOUT C-STAR
The Center for Smart Use of Technologies to Assess Real World Outcomes (C-STAR) is one of six national resource centers comprising the Medical Rehabilitation Research Resource Network (MR3) of the National Institutes of Health. C-STAR is a joint grant between Northwestern University and Shirley Ryan AbilityLab, conceived out of a need to equip investigators with the skills and know-how to accurately employ technologies to measure and interpret data relevant to sensorimotor and cognitive function in the lab, clinic, and real world. Our mission is to connect researchers with the right tools to develop and accurately assess technologies in the field of rehabilitation science. Leveraging the collective experience of clinicians, scientists, engineers and patients, our center provides the expertise, instruction and mentorship to empower researchers on the meaningful use of the vast array of technologies that are readily available but notoriously difficult to implement consistently across diverse patient populations.