Introduction to Artificial Intelligence/Machine Learning in Healthcare

Artificial Intelligence/Machine Learning (AI/ML)-enabled technologies have the unique potential to improve health outcomes by minimizing misdiagnosis, enhancing patient access and increasing monitoring capabilities and support for healthcare practitioners. This introductory course will explore AI/ML-enabled tools and their applications in healthcare, with a particular emphasis on remote monitoring for rehabilitation and wellness, or “telerehabilitation.” Telerehabilitation models have been shown to enhance accessibility of healthcare technology for low-income and aging populations. Studies also demonstrate that self-management via mobile and telehealth technologies improves overall outcomes in patients.

In this course, we will introduce platforms for enhanced remote monitoring via wearable devices (smart watches), augmented reality (AR) systems, robotics and digital twin (DT) technology. Our overall goal is to demonstrate how these tools, when integrated with AI/ML-enabled systems, can be utilized to enhance patient participation and accessibility and improve patient-practitioner communication.

*Open to healthcare professionals and USI students

REFUND POLICY:
Unless otherwise stated, registration fees are fully refundable, less a 15% administrative fee and the cost of any materials, provided our office is notified at least 24 hours prior to the start of the course. Refunds will not be issued after the course has begun, and no refunds will be granted for no-shows. If USI cancels the course, no administrative fee will be applied to your full refund.